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   "source": [
    "# Integrating Multi-Chain MCMC and Arviz Functionality into the HDDM\n",
    "\n",
    "As is well known, the HDDM itself does not support fitting multiple chains in MCMC, so fitting an HDDM model with multiple chains requires users to perform complex customization. In addition, the Bayesian plotting and testing capabilities included in HDDM are relatively rudimentary, and leveraging arviz (based on xarray's InferenceData) can help users perform more flexible post-analysis.\n",
    "\n",
    "Previous work in our laboratory, [HDDMdocker](https://github.com/hcp4715/dockerHDDM_Guide), has implemented multiple-chain MCMC fitting and conversion of hddm models to arviz InferenceData. However, these methods have not been well integrated into the modules on which hddm itself depends. This work ported these features to the core dependency library of hddm, kabuki, which fundamentally solves the problems that existed before and makes it more convenient for users to use.\n",
    "\n",
    "We hope that this notebook can provides a good example of how to use our advanced update to run multiple chains in parallel and generate an ArViz InferenceData from the hddm class."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
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   "outputs": [],
   "source": [
    "# pip uninstall kabuki\n",
    "%pip install git+https://gitee.com/epool/kabuki.git"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First, please uninstall the current version of Kabuki and install the development version from Gitee at https://gitee.com/epool/kabuki. ↗\n",
    "\n",
    "Our work in this version is based on Kabuki, which is compatible with hddm >= 0.8.0. To install Kabuki from Gitee, use the following command:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The current version of kabuki is:  0.6.5RC3\n",
      "The current version of HDDM is:  0.9.8RC\n",
      "The current version of arviz is:  0.15.1\n"
     ]
    }
   ],
   "source": [
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "\n",
    "import hddm\n",
    "import kabuki\n",
    "import arviz as az\n",
    "\n",
    "print(\"The current version of kabuki is: \", kabuki.__version__)\n",
    "print(\"The current version of HDDM is: \", hddm.__version__)\n",
    "print(\"The current version of arviz is: \", az.__version__)"
   ]
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Loading the data from the hddm package"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
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       "   subj_idx stim    rt  response     theta  dbs conf\n",
       "0         0   LL  1.21       1.0  0.656275    1   HC\n",
       "1         0   WL  1.63       1.0 -0.327889    1   LC\n",
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     "metadata": {},
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    "data = hddm.load_csv(hddm.__path__[0] + \"/examples/cavanagh_theta_nn.csv\")\n",
    "data = data[data['subj_idx'].isin([0,1,2,3,4])]\n",
    "data.head()"
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Sampling a basic model to ensure that the python enviroment is working properly. "
   ]
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   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No model attribute --> setting up standard HDDM\n",
      "Set model to ddm\n",
      " [-----------------100%-----------------] 100 of 100 complete in 1.0 sechddm sampling elpased time:  1.048 s\n"
     ]
    },
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     "data": {
      "text/plain": [
       "<pymc.MCMC.MCMC at 0x7f137b9aae50>"
      ]
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     "execution_count": 23,
     "metadata": {},
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    "model = hddm.HDDM(data, include = ['v', 'a', 't', 'z'])\n",
    "model.sample(100)"
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   "source": [
    "### Basic Bayesian hierarchical model"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, let we **run the model with 2 chains in parallel**, and **return the ArViz InferenceData**."
   ]
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   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
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     "name": "stdout",
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     "text": [
      "No model attribute --> setting up standard HDDM\n",
      "Set model to ddm\n",
      "hddm sampling elpased time:  8.447 s\n",
      "Start converting to InferenceData...\n",
      "CPU times: user 992 ms, sys: 23.9 ms, total: 1.02 s\n",
      "Wall time: 8.58 s\n"
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       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:   (chain: 2, draw: 500)\n",
       "Coordinates:\n",
       "  * chain     (chain) int64 0 1\n",
       "  * draw      (draw) int64 0 1 2 3 4 5 6 7 8 ... 492 493 494 495 496 497 498 499\n",
       "Data variables: (12/28)\n",
       "    a         (chain, draw) float64 1.78 2.213 3.425 2.84 ... 1.906 1.912 1.898\n",
       "    a_std     (chain, draw) float64 2.454 1.583 2.625 ... 0.5477 0.447 0.3342\n",
       "    a_subj.0  (chain, draw) float64 7.785 6.417 6.285 5.613 ... 2.107 2.093 2.16\n",
       "    a_subj.1  (chain, draw) float64 3.261 2.669 2.247 ... 2.239 2.128 2.089\n",
       "    a_subj.2  (chain, draw) float64 2.726 2.63 2.154 1.954 ... 1.578 1.565 1.566\n",
       "    a_subj.3  (chain, draw) float64 1.23 2.141 2.265 2.244 ... 2.311 2.206 2.108\n",
       "    ...        ...\n",
       "    z_std     (chain, draw) float64 0.4695 0.2211 0.549 ... 0.08704 0.09099\n",
       "    z_subj.0  (chain, draw) float64 0.4755 0.09693 0.1132 ... 0.4789 0.4816\n",
       "    z_subj.1  (chain, draw) float64 0.3986 0.4456 0.4136 ... 0.4933 0.5072\n",
       "    z_subj.2  (chain, draw) float64 0.2562 0.3196 0.3766 ... 0.4836 0.4841\n",
       "    z_subj.3  (chain, draw) float64 0.4625 0.5304 0.4733 ... 0.4875 0.5 0.5278\n",
       "    z_subj.4  (chain, draw) float64 0.823 0.8355 0.8607 ... 0.4889 0.4725 0.4383</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-bcd43920-6c50-427f-91b6-e56c966d561b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-bcd43920-6c50-427f-91b6-e56c966d561b' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>chain</span>: 2</li><li><span class='xr-has-index'>draw</span>: 500</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-56181f11-9209-4ee5-a2cb-3351bdb60631' class='xr-section-summary-in' type='checkbox'  checked><label for='section-56181f11-9209-4ee5-a2cb-3351bdb60631' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>chain</span></div><div class='xr-var-dims'>(chain)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1</div><input id='attrs-e5f1c252-0c4d-458f-9e9e-59183c73709e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e5f1c252-0c4d-458f-9e9e-59183c73709e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-26377716-33ac-41bd-8425-84ca1073aa6a' class='xr-var-data-in' type='checkbox'><label for='data-26377716-33ac-41bd-8425-84ca1073aa6a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 1])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>draw</span></div><div class='xr-var-dims'>(draw)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 ... 495 496 497 498 499</div><input id='attrs-8b964490-8a2b-4c71-9d84-dd41a1e633fa' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8b964490-8a2b-4c71-9d84-dd41a1e633fa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4073fc63-ccb2-4e5c-9904-0f0b511bcd55' class='xr-var-data-in' type='checkbox'><label for='data-4073fc63-ccb2-4e5c-9904-0f0b511bcd55' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([  0,   1,   2, ..., 497, 498, 499])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a272205c-1c56-48c2-9515-d2a487ae1f42' class='xr-section-summary-in' type='checkbox'  ><label for='section-a272205c-1c56-48c2-9515-d2a487ae1f42' class='xr-section-summary' >Data variables: <span>(28)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>a</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.78 2.213 3.425 ... 1.912 1.898</div><input id='attrs-78a06a94-0697-458a-8c92-65ef8e990d7a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-78a06a94-0697-458a-8c92-65ef8e990d7a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5babfa0c-8234-4db7-b5c5-06da89940335' class='xr-var-data-in' type='checkbox'><label for='data-5babfa0c-8234-4db7-b5c5-06da89940335' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[1.78034349, 2.21317648, 3.42546129, 2.8399427 , 4.90241734,\n",
       "        1.16512984, 2.75103358, 3.33848625, 1.24150962, 1.77901096,\n",
       "        1.98690422, 3.59201811, 3.41218809, 2.2499466 , 4.34933597,\n",
       "        1.74722676, 2.11092281, 2.88200149, 2.68297105, 3.52327386,\n",
       "        4.28820618, 4.47648392, 4.14248826, 3.36836289, 2.80313289,\n",
       "        2.31564353, 2.71848002, 3.18465151, 3.01332732, 1.97166805,\n",
       "        2.91212162, 2.26797006, 1.37929073, 2.1469207 , 2.99124321,\n",
       "        1.75444548, 2.85787512, 2.91346272, 2.92829959, 2.11019847,\n",
       "        2.39388387, 2.07619996, 1.69222214, 1.78752164, 1.62865011,\n",
       "        3.73786476, 3.9459692 , 2.65009364, 2.6862874 , 2.43866271,\n",
       "        3.08587568, 3.27101054, 2.88470041, 3.46941583, 3.1347457 ,\n",
       "        2.36039075, 2.53079215, 2.08547718, 2.44975734, 2.53602421,\n",
       "        2.21106367, 1.55801345, 2.27410137, 1.83832408, 1.71837175,\n",
       "        2.36098777, 2.07801301, 2.06615831, 1.84823499, 1.81116043,\n",
       "        2.02611159, 1.61850158, 2.02392082, 1.89249052, 1.73713921,\n",
       "        1.59813304, 1.7386745 , 1.73371409, 2.1640475 , 2.2243455 ,\n",
       "        2.31388639, 2.71517585, 2.84975584, 2.78766801, 2.12244676,\n",
       "        2.17790442, 2.13531492, 1.89411359, 2.15690107, 2.33251252,\n",
       "        1.6048091 , 1.71035828, 2.38473496, 1.81668136, 1.71081797,\n",
       "        1.97290502, 1.79786444, 1.74778372, 1.86613041, 1.76056855,\n",
       "...\n",
       "        1.95476904, 1.40095268, 2.28850433, 2.13799298, 2.07634079,\n",
       "        1.93767784, 1.82389817, 1.88796947, 1.82919231, 1.85655909,\n",
       "        1.45057998, 2.18837533, 1.59999473, 1.71485042, 1.85641125,\n",
       "        1.90010098, 1.80625234, 2.13242538, 1.96648069, 2.13957527,\n",
       "        2.01528952, 2.00980163, 1.93741222, 1.9876301 , 1.88496434,\n",
       "        1.81906103, 2.01775862, 1.78856931, 2.08640633, 1.78417391,\n",
       "        1.80462716, 1.94516177, 1.856832  , 1.75409009, 2.12331216,\n",
       "        1.89885705, 2.40081126, 2.14432548, 2.19346373, 2.46557562,\n",
       "        1.55223344, 1.65967813, 1.57884046, 2.04092339, 1.58835667,\n",
       "        1.86758231, 2.20400158, 2.2733847 , 2.21142804, 1.90190842,\n",
       "        1.53767874, 1.90841415, 1.82077521, 1.8292433 , 1.81622101,\n",
       "        1.91478059, 1.73233082, 1.84030762, 2.02586242, 1.56899247,\n",
       "        2.43201656, 2.15448281, 1.83102409, 1.43947388, 1.94544959,\n",
       "        1.79190357, 2.40793641, 2.74588859, 2.43550271, 1.55280334,\n",
       "        1.99363912, 1.54919574, 1.87056952, 2.02197253, 1.66496349,\n",
       "        1.68365433, 1.89151536, 2.06573008, 3.01620311, 2.50544075,\n",
       "        2.3943379 , 1.79966084, 2.53450492, 1.97177   , 2.19550514,\n",
       "        1.98110512, 2.0046098 , 1.88475985, 1.84167334, 2.05715187,\n",
       "        1.72204456, 1.3835531 , 1.63934209, 2.12090408, 2.12776641,\n",
       "        1.80534051, 1.88412156, 1.906144  , 1.91207145, 1.8982783 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>a_std</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.454 1.583 2.625 ... 0.447 0.3342</div><input id='attrs-7eb884cb-f483-48b6-a97c-936de2682bf3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7eb884cb-f483-48b6-a97c-936de2682bf3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3869b2b7-ea2d-4711-80af-0c21713ee9d1' class='xr-var-data-in' type='checkbox'><label for='data-3869b2b7-ea2d-4711-80af-0c21713ee9d1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 2.45444095,  1.58292819,  2.62469275,  4.16764549,  4.21004112,\n",
       "         2.37507764,  2.25901948,  2.48014922,  2.86980013,  1.50839786,\n",
       "         1.63398204,  2.80627699,  2.43745955,  2.85842526,  4.17238447,\n",
       "         3.13576497,  2.43780306,  2.68268261,  3.29218701,  3.46361327,\n",
       "         3.20107423,  2.74481769,  3.39001257,  2.65642655,  1.80587687,\n",
       "         2.85655925,  2.53076112,  1.55316578,  2.36053216,  1.86122978,\n",
       "         1.86707405,  1.46563373,  1.93885322,  0.84740798,  2.34468817,\n",
       "         1.33176225,  1.26774879,  1.68536631,  1.73075672,  1.60911089,\n",
       "         1.8597502 ,  1.28635983,  1.32071823,  1.44843309,  1.16801715,\n",
       "         1.39458677,  2.76659646,  1.85572083,  1.90075868,  1.71825112,\n",
       "         1.99125278,  2.08566897,  1.83262343,  1.74682089,  2.13016562,\n",
       "         1.29703862,  0.47064387,  0.58787246,  0.71274439,  0.58122631,\n",
       "         0.4786767 ,  0.54375197,  0.75495085,  0.62220551,  0.75209381,\n",
       "         0.87198767,  1.08695623,  0.93793061,  0.22184775,  0.21204483,\n",
       "         0.59465225,  0.66368721,  0.42149652,  0.37445167,  0.4414919 ,\n",
       "         0.6129191 ,  0.38372766,  0.25591664,  0.78676308,  0.8732364 ,\n",
       "         1.16179636,  1.15036028,  1.68170036,  2.61765357,  1.08844609,\n",
       "         0.70963569,  0.45324895,  0.45618071,  0.6248118 ,  0.72467257,\n",
       "         0.48462482,  0.53299816,  0.5514632 ,  0.69032351,  0.32857593,\n",
       "         0.55801532,  0.68417991,  0.28150959,  0.39055501,  0.41937094,\n",
       "...\n",
       "         0.24113589,  0.74397935,  0.58333614,  0.66837969,  0.66314465,\n",
       "         0.58365268,  0.30882001,  0.28987753,  0.38066184,  0.3931564 ,\n",
       "         0.5772609 ,  0.50185627,  0.43359308,  0.48758465,  0.41747919,\n",
       "         0.24890412,  0.39593561,  0.40208689,  0.36895697,  0.55897229,\n",
       "         0.48564751,  0.41453106,  0.37807882,  0.57916033,  0.253984  ,\n",
       "         0.25221316,  0.59984649,  0.48116759,  0.45276496,  0.48741966,\n",
       "         0.4727303 ,  0.40427069,  0.3321578 ,  0.30950107,  0.42176792,\n",
       "         0.37016816,  0.80536102,  0.40913016,  0.4397208 ,  0.6425516 ,\n",
       "         0.66530005,  0.50689234,  0.45831694,  0.33595905,  0.4702963 ,\n",
       "         0.42916029,  0.50631348,  0.57187615,  0.69477021,  0.67434168,\n",
       "         0.57643651,  1.10982414,  0.23020009,  0.44634037,  0.29897753,\n",
       "         0.26222404,  0.41112806,  0.33098088,  0.34022705,  0.3390719 ,\n",
       "         0.95200711,  0.6986424 ,  0.56705096,  0.55246893,  0.38547008,\n",
       "         0.24783022,  1.10476681,  0.92759709,  1.01575288,  0.8317831 ,\n",
       "         0.78923038,  0.64678029,  0.70623537,  0.45691493,  0.63167047,\n",
       "         0.50619227,  0.35640805,  0.60172067,  1.20754041,  1.04009562,\n",
       "         0.5306072 ,  0.93332083,  0.96956147,  0.94663398,  0.58371104,\n",
       "         0.38653111,  0.37437387,  0.4269537 ,  0.34537241,  0.38262643,\n",
       "         0.29509848,  0.50766824,  0.88352808,  0.49821986,  0.48688741,\n",
       "         0.66785398,  0.66686787,  0.54774723,  0.4470096 ,  0.33420978]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>a_subj.0</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>7.785 6.417 6.285 ... 2.093 2.16</div><input id='attrs-36f7c14c-8c9e-4992-a08d-48a5da52e3a9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-36f7c14c-8c9e-4992-a08d-48a5da52e3a9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-49478f19-0cc6-4768-bd83-0b1b20a5091e' class='xr-var-data-in' type='checkbox'><label for='data-49478f19-0cc6-4768-bd83-0b1b20a5091e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[7.78453406, 6.41697113, 6.28479253, 5.61315584, 5.62323729,\n",
       "        5.69653943, 4.64854509, 4.65396724, 2.22758872, 2.15697012,\n",
       "        2.19098747, 2.14023637, 2.13242514, 2.08698659, 2.33069023,\n",
       "        2.14793813, 2.1309322 , 2.14077843, 2.35085803, 2.27376936,\n",
       "        2.26302836, 2.22911048, 2.20283031, 2.31803226, 2.22376275,\n",
       "        2.21885662, 2.20515174, 2.22422026, 2.16295209, 2.17015182,\n",
       "        2.20489545, 2.2393821 , 2.26180969, 2.32745307, 2.35278666,\n",
       "        2.24592118, 2.13101608, 2.13161501, 2.23124872, 2.05361532,\n",
       "        2.19593527, 2.18860284, 2.25990238, 2.08737202, 2.03968034,\n",
       "        2.07035876, 2.19166898, 2.24086483, 2.21492518, 2.21834987,\n",
       "        2.22547037, 2.26652759, 2.26329401, 2.21484287, 2.26315617,\n",
       "        2.23493363, 2.21960318, 2.1690967 , 2.23010776, 2.13607178,\n",
       "        2.14391138, 2.14342034, 2.1610169 , 2.15717253, 2.18144899,\n",
       "        2.26127307, 2.27602389, 2.25649829, 2.25395235, 2.16512444,\n",
       "        2.2845245 , 2.25894189, 2.11073349, 2.19928538, 2.1701582 ,\n",
       "        2.23266404, 2.37007512, 2.37278529, 2.23639364, 2.1982474 ,\n",
       "        2.18946663, 2.2252317 , 2.26003261, 2.27318811, 2.22848467,\n",
       "        2.18343381, 2.31061209, 2.1808669 , 2.18356085, 2.21256914,\n",
       "        2.20014502, 2.18247757, 2.2137343 , 2.19323947, 2.13711595,\n",
       "        2.20938248, 2.13038471, 2.06195517, 2.04710523, 2.09124453,\n",
       "...\n",
       "        2.11535265, 2.31951176, 2.22383829, 2.23754913, 2.14920307,\n",
       "        2.15442653, 2.14494815, 2.12402997, 2.19154984, 2.27798523,\n",
       "        2.24222771, 2.21816484, 2.15753891, 2.22225025, 2.1173813 ,\n",
       "        2.21676339, 2.21856148, 2.20584027, 2.25584657, 2.2122014 ,\n",
       "        2.29203552, 2.20366949, 2.19515629, 2.13715386, 2.13745493,\n",
       "        2.11903741, 2.25244782, 2.26319763, 2.15298082, 2.13694461,\n",
       "        2.16294749, 2.10985248, 2.1486157 , 2.15285221, 2.14496247,\n",
       "        2.28738437, 2.22101621, 2.26191055, 2.17339369, 2.20911262,\n",
       "        2.15758643, 2.23512044, 2.19177354, 2.23028712, 2.08622685,\n",
       "        2.18052903, 2.23980242, 2.23589378, 2.16370421, 2.18087443,\n",
       "        2.24832613, 2.19501603, 2.24549128, 2.16117937, 2.22718482,\n",
       "        2.16292253, 2.10957589, 2.11479909, 2.0886326 , 2.23843478,\n",
       "        2.26483673, 2.31115221, 2.17921847, 2.21955874, 2.16956146,\n",
       "        2.16568712, 2.29951851, 2.19447233, 2.2199774 , 2.25393421,\n",
       "        2.20035216, 2.26443777, 2.22507422, 2.18362083, 2.23698477,\n",
       "        2.06830652, 2.09896767, 2.21302816, 2.24600598, 2.27785927,\n",
       "        2.29612312, 2.27034638, 2.23040376, 2.33793662, 2.2526328 ,\n",
       "        2.28231499, 2.24757523, 2.27422698, 2.17806292, 2.08353827,\n",
       "        2.35288698, 2.24086967, 2.24258351, 2.26955447, 2.15779823,\n",
       "        2.14849262, 2.25679286, 2.10679669, 2.09308784, 2.15977486]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>a_subj.1</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3.261 2.669 2.247 ... 2.128 2.089</div><input id='attrs-60229585-e55a-4b64-b7ad-4ec8ca5164d5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-60229585-e55a-4b64-b7ad-4ec8ca5164d5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cda2f85c-2e82-4329-9aa6-2069342278d6' class='xr-var-data-in' type='checkbox'><label for='data-cda2f85c-2e82-4329-9aa6-2069342278d6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[3.26124559, 2.66874679, 2.24711598, 1.94595265, 1.93622983,\n",
       "        2.20683378, 2.11406157, 2.16674081, 2.1330933 , 2.10605939,\n",
       "        2.0918009 , 2.19423562, 2.17057512, 2.18856276, 2.24423332,\n",
       "        2.22203345, 2.19929763, 2.17517853, 2.19678367, 2.10841718,\n",
       "        2.16974483, 2.07357341, 2.05829572, 2.1417281 , 2.0699554 ,\n",
       "        2.07451757, 2.1223415 , 2.12466194, 2.10267709, 2.19450745,\n",
       "        2.19659848, 2.1730932 , 2.1663434 , 2.18119531, 2.19034123,\n",
       "        2.08464701, 2.08584192, 2.11279381, 2.13025056, 2.0138182 ,\n",
       "        2.07086916, 2.06836093, 2.09991068, 2.17271562, 2.12059389,\n",
       "        2.28241708, 2.06905568, 2.11168223, 2.11297162, 2.12257252,\n",
       "        2.15918296, 2.09860427, 2.18947515, 2.02772184, 2.02420263,\n",
       "        2.04646338, 2.1864356 , 2.09276895, 2.15588791, 2.06491268,\n",
       "        2.1061473 , 2.1062398 , 2.14525443, 2.21027075, 2.05436666,\n",
       "        2.0547697 , 2.08659389, 2.07248939, 2.0441426 , 2.03996709,\n",
       "        2.02004691, 1.992328  , 2.1550935 , 2.16575191, 2.1382384 ,\n",
       "        2.1313206 , 2.16052066, 2.09496686, 2.15093969, 2.17568303,\n",
       "        2.15344986, 2.15627235, 2.06457743, 2.16859458, 2.04423308,\n",
       "        2.11308349, 2.07054118, 2.05596788, 2.01189964, 2.05019839,\n",
       "        2.04663096, 2.12412877, 2.08894898, 2.12434878, 2.16753494,\n",
       "        2.18059232, 2.06612002, 2.10887731, 2.12699371, 2.15475229,\n",
       "...\n",
       "        2.23627767, 2.20831687, 2.15144863, 2.18275919, 2.10933739,\n",
       "        2.1402136 , 2.11011846, 2.11901014, 2.09362952, 2.06974149,\n",
       "        2.12053975, 2.12747068, 2.07563537, 2.08761607, 2.10800419,\n",
       "        2.058554  , 2.05184625, 2.08960568, 2.07629485, 2.11213215,\n",
       "        2.26150505, 2.18236869, 2.20559168, 2.18739247, 2.03219471,\n",
       "        2.13614508, 2.09203762, 2.15420272, 2.04476662, 2.08444279,\n",
       "        2.08543959, 2.03530664, 2.20962755, 2.19831156, 2.0467906 ,\n",
       "        2.08430726, 2.12336448, 2.14608579, 2.16620856, 2.06496873,\n",
       "        2.17858546, 2.02968342, 2.02703054, 2.06509132, 1.99314018,\n",
       "        1.9864645 , 2.1773902 , 2.03939908, 2.11954599, 2.05217488,\n",
       "        2.06580921, 2.08963444, 2.17463567, 2.02016651, 2.01667723,\n",
       "        2.14313647, 2.11711465, 2.17802612, 2.14738597, 2.08964609,\n",
       "        2.2071008 , 2.08973072, 2.13798446, 2.12682395, 2.09448021,\n",
       "        2.16196765, 2.15218707, 2.13814957, 2.09690504, 2.10513577,\n",
       "        2.08878724, 2.07716707, 2.14621327, 2.15133367, 2.14787055,\n",
       "        2.14683738, 2.15643014, 2.14117168, 2.1593325 , 2.12657647,\n",
       "        2.14199753, 2.12220951, 2.08086782, 2.08285696, 2.19656547,\n",
       "        2.10909254, 2.11533565, 2.03089657, 2.15529511, 2.13884416,\n",
       "        2.15439764, 2.12657595, 2.16115539, 2.13440576, 2.13921529,\n",
       "        2.17614242, 2.22732163, 2.23940516, 2.12759564, 2.08933964]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>a_subj.2</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.726 2.63 2.154 ... 1.565 1.566</div><input id='attrs-8bcf1eae-947b-4e6a-98d7-eac257ebccba' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8bcf1eae-947b-4e6a-98d7-eac257ebccba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-98061934-0491-4988-b037-cd8c6ca1c034' class='xr-var-data-in' type='checkbox'><label for='data-98061934-0491-4988-b037-cd8c6ca1c034' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[2.72649695, 2.62985848, 2.15405302, 1.9541392 , 1.82902887,\n",
       "        1.69992865, 1.73885683, 1.60318632, 1.61324976, 1.61195015,\n",
       "        1.57952419, 1.58200315, 1.58641083, 1.55143412, 1.57034568,\n",
       "        1.53336454, 1.51668997, 1.45791045, 1.5631819 , 1.5810398 ,\n",
       "        1.58900398, 1.52428607, 1.53687858, 1.52726791, 1.5835309 ,\n",
       "        1.56738802, 1.54356045, 1.57380293, 1.55942595, 1.54142297,\n",
       "        1.5253343 , 1.46982963, 1.46363197, 1.47060646, 1.46183998,\n",
       "        1.46776021, 1.54223671, 1.55585335, 1.52676874, 1.51324444,\n",
       "        1.53891434, 1.56883   , 1.57220998, 1.57209756, 1.49100358,\n",
       "        1.55822348, 1.52607253, 1.53663727, 1.49554837, 1.55156796,\n",
       "        1.52464841, 1.50418699, 1.56211327, 1.51433756, 1.44032122,\n",
       "        1.55612649, 1.56485707, 1.57771751, 1.60156601, 1.5847693 ,\n",
       "        1.64421387, 1.46660765, 1.45907002, 1.49850674, 1.53879073,\n",
       "        1.49130904, 1.54770581, 1.48184161, 1.53976126, 1.56519824,\n",
       "        1.55594857, 1.44411461, 1.57274204, 1.51983129, 1.57513159,\n",
       "        1.56303296, 1.56893396, 1.53326224, 1.56051726, 1.52638417,\n",
       "        1.52720283, 1.50770812, 1.52714847, 1.57779644, 1.57547631,\n",
       "        1.57010552, 1.62223134, 1.55507348, 1.57203827, 1.54216384,\n",
       "        1.57297925, 1.6186246 , 1.65015627, 1.62397566, 1.56958464,\n",
       "        1.55299799, 1.54189922, 1.56703335, 1.58971515, 1.57359692,\n",
       "...\n",
       "        1.60672394, 1.54475026, 1.56276343, 1.56303896, 1.52555552,\n",
       "        1.51511669, 1.57394597, 1.56112698, 1.57796269, 1.58572876,\n",
       "        1.56140652, 1.54466983, 1.55845528, 1.57668294, 1.55763476,\n",
       "        1.53934283, 1.55360014, 1.53658626, 1.53238379, 1.53656235,\n",
       "        1.62866227, 1.50157457, 1.48768454, 1.58834516, 1.56119579,\n",
       "        1.51667994, 1.56727285, 1.55585017, 1.51344145, 1.53690357,\n",
       "        1.45735404, 1.48915707, 1.48441013, 1.52622967, 1.562321  ,\n",
       "        1.59703219, 1.6103105 , 1.52253314, 1.58535979, 1.47728428,\n",
       "        1.54721766, 1.51332191, 1.56191197, 1.50345015, 1.48987916,\n",
       "        1.49402301, 1.61311736, 1.53114823, 1.56234332, 1.55190538,\n",
       "        1.5949112 , 1.55707358, 1.56505678, 1.5467806 , 1.59203823,\n",
       "        1.6492137 , 1.53907832, 1.56428926, 1.54072956, 1.5831526 ,\n",
       "        1.55637426, 1.56447059, 1.57682854, 1.5820612 , 1.66191457,\n",
       "        1.54194863, 1.58074259, 1.58019879, 1.55419938, 1.53778366,\n",
       "        1.55373554, 1.58842226, 1.47110661, 1.52227156, 1.53818219,\n",
       "        1.5390392 , 1.56075583, 1.54606097, 1.49465132, 1.54710969,\n",
       "        1.53722941, 1.59636078, 1.58891637, 1.61389997, 1.63196382,\n",
       "        1.67970806, 1.56174034, 1.53254807, 1.50455281, 1.50286672,\n",
       "        1.52173843, 1.52180494, 1.53522996, 1.57885414, 1.54559629,\n",
       "        1.58415433, 1.5272715 , 1.57810313, 1.56459008, 1.56629106]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>a_subj.3</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.23 2.141 2.265 ... 2.206 2.108</div><input id='attrs-ac26b97c-5a02-4190-91ed-c61ca56aa486' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ac26b97c-5a02-4190-91ed-c61ca56aa486' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-07767477-15f3-4ca9-ab85-f1aba06639f5' class='xr-var-data-in' type='checkbox'><label for='data-07767477-15f3-4ca9-ab85-f1aba06639f5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[1.22980398, 2.14098083, 2.26502515, 2.24434796, 2.18435844,\n",
       "        2.08837087, 2.11974212, 2.18124401, 2.1761901 , 2.14678278,\n",
       "        2.05546378, 2.12274999, 2.16331479, 2.17093319, 2.17681982,\n",
       "        2.17418586, 2.17080385, 2.14545205, 2.1506589 , 2.02603906,\n",
       "        2.14628444, 2.05149602, 2.05340402, 2.05904752, 2.17333215,\n",
       "        2.13838678, 2.13821773, 2.15707668, 2.11677417, 2.13180446,\n",
       "        2.15701642, 2.14569658, 2.18743056, 2.07568123, 2.0477361 ,\n",
       "        2.11460458, 2.18086616, 2.17714248, 2.12175498, 2.15830635,\n",
       "        2.10567987, 2.05526734, 2.10180761, 2.05605389, 2.04281459,\n",
       "        2.07681471, 2.12753498, 2.14660393, 2.21781876, 2.19676348,\n",
       "        2.25397727, 2.02687861, 2.1881549 , 2.18284664, 2.27994674,\n",
       "        2.25175579, 2.16166543, 2.24225012, 2.16353487, 2.13742312,\n",
       "        2.14181692, 2.21621298, 2.04138546, 2.14682699, 2.14685416,\n",
       "        2.12267789, 2.12900572, 2.0726538 , 2.08806575, 2.10517779,\n",
       "        2.08045557, 2.08573812, 2.27436597, 2.17994831, 2.21723332,\n",
       "        2.23827436, 2.1155357 , 2.13156322, 2.18569525, 2.26014612,\n",
       "        2.28031881, 2.18760175, 2.25659137, 2.16422047, 2.17230326,\n",
       "        2.32395642, 2.32760609, 2.32368352, 2.17811281, 2.26578462,\n",
       "        2.25264763, 2.33806429, 2.32865028, 2.11060092, 2.20845508,\n",
       "        2.22092664, 2.28193353, 2.31756605, 2.11128405, 2.04253754,\n",
       "...\n",
       "        2.18420313, 2.20549097, 2.16314903, 2.15427672, 2.16220478,\n",
       "        2.13998995, 2.13835397, 2.23471299, 1.9864119 , 2.124736  ,\n",
       "        2.08575881, 2.07833231, 2.10305112, 2.11528819, 2.10974653,\n",
       "        2.13181748, 2.12988942, 2.14860712, 2.10525456, 2.16646464,\n",
       "        2.2299951 , 2.20002684, 2.0579967 , 2.23026601, 2.13584103,\n",
       "        2.09166783, 1.96740795, 2.17448064, 2.23470052, 2.03805227,\n",
       "        2.08215868, 2.11172975, 2.11719778, 2.13719165, 2.15864603,\n",
       "        2.19785348, 2.08340522, 2.14020944, 2.24028292, 2.07891246,\n",
       "        2.15725409, 2.16723287, 2.16131606, 2.15831086, 2.23273928,\n",
       "        2.14928284, 2.0757476 , 2.11324035, 2.13388622, 2.13877631,\n",
       "        2.12479698, 2.14595186, 2.06711703, 2.07233809, 2.11649019,\n",
       "        2.13182351, 2.14822249, 2.13471611, 2.0917573 , 2.08722369,\n",
       "        2.1908436 , 2.2161332 , 2.17776563, 2.23344688, 2.15916006,\n",
       "        2.28295269, 2.20163072, 2.17772769, 2.16215678, 2.15931908,\n",
       "        2.14145095, 2.16134244, 2.17617722, 2.10244108, 2.1473268 ,\n",
       "        2.11468515, 2.09375223, 2.17437928, 2.25088078, 2.17800218,\n",
       "        2.17804771, 2.16004247, 2.15860662, 2.08227851, 2.1815794 ,\n",
       "        2.12258243, 2.17290229, 2.25076369, 2.20729579, 2.20274461,\n",
       "        2.08981103, 2.07431591, 2.13267901, 2.23067689, 2.36072306,\n",
       "        2.13489378, 2.41842877, 2.31084677, 2.20555771, 2.1078255 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>a_subj.4</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3.926 7.648 11.93 ... 1.47 1.476</div><input id='attrs-3723e917-8e14-415f-90cf-43a8fe4e935e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3723e917-8e14-415f-90cf-43a8fe4e935e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-db984805-95c0-498e-b209-5f4bca1de5cd' class='xr-var-data-in' type='checkbox'><label for='data-db984805-95c0-498e-b209-5f4bca1de5cd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 3.92583696,  7.64816586, 11.93007191, 13.47311231, 14.00204516,\n",
       "        15.16896131, 15.28890476, 15.28538547, 14.99874047, 15.01344315,\n",
       "        15.45703531, 14.24851997, 14.08751506, 13.9766271 , 13.66825252,\n",
       "        13.30357963, 12.79952542, 12.24110702, 12.10030256, 12.12346788,\n",
       "        11.95592216, 12.45641814, 11.80675288, 10.94680676, 10.71834209,\n",
       "        10.52399387,  9.54639676,  9.0228852 ,  9.0599983 ,  8.98692946,\n",
       "         8.93473858,  7.9271692 ,  7.94208802,  7.78214879,  7.70620314,\n",
       "         7.31439128,  7.31187374,  6.92067582,  6.74728235,  6.85423972,\n",
       "         6.86495895,  6.36773802,  6.23611705,  6.32614892,  5.93726166,\n",
       "         5.5866487 ,  5.03737599,  4.59737038,  4.71847202,  4.7656515 ,\n",
       "         4.30975749,  4.19312781,  4.16954255,  3.74349975,  3.53974905,\n",
       "         3.42017267,  3.12749441,  2.93242484,  2.58948693,  2.33530212,\n",
       "         1.77084309,  1.44812551,  1.45142029,  1.44575952,  1.48378019,\n",
       "         1.54014393,  1.4549115 ,  1.47437236,  1.45888471,  1.49804648,\n",
       "         1.42759881,  1.44811628,  1.44236022,  1.43936853,  1.45195209,\n",
       "         1.46330215,  1.47907801,  1.44218898,  1.502531  ,  1.51549337,\n",
       "         1.59989875,  1.61189511,  1.57307033,  1.46179122,  1.45708051,\n",
       "         1.54507166,  1.41264088,  1.42316394,  1.39610107,  1.39802349,\n",
       "         1.38671998,  1.37737292,  1.50052431,  1.438545  ,  1.43120581,\n",
       "         1.39634502,  1.38465215,  1.43525418,  1.54701139,  1.54599844,\n",
       "...\n",
       "         1.41849181,  1.42990732,  1.41846206,  1.40382328,  1.39770388,\n",
       "         1.39998095,  1.47269184,  1.47495968,  1.45355967,  1.52213209,\n",
       "         1.52098225,  1.54700564,  1.55378318,  1.55333134,  1.50911599,\n",
       "         1.52993125,  1.5304602 ,  1.49473653,  1.45089983,  1.50362887,\n",
       "         1.49656425,  1.46526555,  1.48904989,  1.48166691,  1.45092676,\n",
       "         1.50000349,  1.49153015,  1.43244494,  1.45259871,  1.50460774,\n",
       "         1.49223597,  1.48267547,  1.46636286,  1.50398246,  1.58340652,\n",
       "         1.52506349,  1.52642544,  1.50735962,  1.52604025,  1.52433068,\n",
       "         1.55500197,  1.58579787,  1.43198255,  1.48238926,  1.43398179,\n",
       "         1.46737785,  1.53635052,  1.48400186,  1.47966537,  1.41602184,\n",
       "         1.41696458,  1.50657957,  1.44034752,  1.47415912,  1.47757734,\n",
       "         1.43344201,  1.46339888,  1.56419374,  1.53144061,  1.55786337,\n",
       "         1.46086571,  1.47804278,  1.51973247,  1.49740384,  1.54608272,\n",
       "         1.41303827,  1.45096106,  1.43814341,  1.44435308,  1.40801565,\n",
       "         1.38100437,  1.41793705,  1.4903174 ,  1.5000386 ,  1.51618818,\n",
       "         1.55150413,  1.54595686,  1.53530672,  1.50937192,  1.50748282,\n",
       "         1.47642991,  1.48338798,  1.46529808,  1.49729721,  1.48211079,\n",
       "         1.48709192,  1.43629505,  1.40765205,  1.38727272,  1.38915391,\n",
       "         1.46134309,  1.43467852,  1.39227763,  1.39469981,  1.37337671,\n",
       "         1.38145608,  1.39213105,  1.41144233,  1.47011982,  1.47633209]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.494 1.995 0.7294 ... 0.6955 0.352</div><input id='attrs-a8902cf1-0901-4a51-827e-113ffde47eb8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a8902cf1-0901-4a51-827e-113ffde47eb8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b0c6cebe-7733-400a-9157-7dded37f31cd' class='xr-var-data-in' type='checkbox'><label for='data-b0c6cebe-7733-400a-9157-7dded37f31cd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 1.49412175e+00,  1.99487487e+00,  7.29374540e-01,\n",
       "         1.26628350e+00,  1.51297196e+00,  1.93793710e+00,\n",
       "         5.86931098e-01,  2.44703891e+00,  5.10403058e-01,\n",
       "         3.73374239e-01, -1.64355539e-01,  1.11864031e+00,\n",
       "         3.24301848e+00,  1.62768740e+00,  1.06401585e+00,\n",
       "         1.40129854e-01,  6.92346588e-01,  1.04224840e+00,\n",
       "         1.26462628e+00,  5.90523944e-01,  1.84471372e+00,\n",
       "         4.82592678e-01,  2.51432456e-01,  6.34764096e-01,\n",
       "         8.91191504e-01,  2.09565054e-01,  1.28699477e+00,\n",
       "         3.23411290e-01,  1.05961093e+00,  1.43016279e+00,\n",
       "         2.86620790e-01,  5.56535897e-01,  1.03304565e+00,\n",
       "         7.09562438e-01,  4.21349856e-01,  1.31973240e+00,\n",
       "         6.59153444e-01,  1.23648451e+00,  7.88153939e-01,\n",
       "         5.14609757e-01,  1.19997215e-01,  5.78161854e-01,\n",
       "         8.83717263e-01,  3.01125777e-01,  3.05011315e-01,\n",
       "         7.45442574e-01,  6.14549772e-01,  8.61588395e-01,\n",
       "         8.71709522e-01,  2.50323654e-01,  1.00876969e+00,\n",
       "         6.24469943e-01,  5.13894274e-01,  4.75105887e-01,\n",
       "         1.10527319e+00, -1.15346609e-02,  4.10139821e-01,\n",
       "         1.15261361e+00,  8.84478975e-01,  9.18368397e-01,\n",
       "...\n",
       "         3.66458574e-01,  5.03518933e-01,  1.30749238e+00,\n",
       "        -5.53548842e-01, -8.98921014e-01,  6.90071328e-01,\n",
       "         5.16230457e-01,  8.24005797e-01,  7.45441519e-01,\n",
       "         1.46764826e-01,  3.02848179e-01,  2.84290850e-01,\n",
       "         9.14986148e-01,  7.82655658e-01,  5.95053613e-01,\n",
       "         3.42071326e-01,  9.00016000e-01, -1.89332051e-01,\n",
       "         1.17225235e+00,  9.04265550e-01,  1.84763271e-01,\n",
       "         5.54255462e-01,  6.95074326e-01,  9.29050185e-01,\n",
       "         4.39103906e-01,  4.54576726e-01,  6.64191542e-01,\n",
       "         6.49001815e-01,  6.89170209e-01,  4.75984607e-01,\n",
       "         4.59525574e-01,  6.35685737e-01,  9.04614461e-01,\n",
       "         1.12214543e+00,  8.62316730e-01,  8.81346891e-01,\n",
       "         8.34199507e-01,  8.31456068e-01,  3.21694801e-01,\n",
       "         7.42411640e-01,  8.91952041e-01,  2.11140623e+00,\n",
       "        -7.42425277e-02,  5.77399820e-01,  8.66916722e-01,\n",
       "         2.49453399e-01,  3.21736615e-01,  1.47841154e+00,\n",
       "         8.24961164e-01,  3.46975549e-01,  6.08835516e-01,\n",
       "         5.35134570e-01,  5.67442220e-01,  3.96169478e-01,\n",
       "         2.81972866e-01,  7.13532652e-01,  1.89695200e-01,\n",
       "         6.95471727e-01,  3.52048729e-01]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_std</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.08842 13.66 ... 0.6899 0.7352</div><input id='attrs-88c34e48-410e-4444-9f30-58725205c5a1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-88c34e48-410e-4444-9f30-58725205c5a1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-801eb6b3-75dd-4a65-a5db-b59f439ade7e' class='xr-var-data-in' type='checkbox'><label for='data-801eb6b3-75dd-4a65-a5db-b59f439ade7e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[8.84228810e-02, 1.36646853e+01, 3.64176909e+00, 2.60194183e+00,\n",
       "        1.22928010e+00, 1.15371444e+00, 1.29919863e+00, 1.62181094e+00,\n",
       "        1.07030729e+00, 1.00083614e+00, 9.74293787e-01, 2.26451671e+00,\n",
       "        2.30781019e+00, 2.22627957e+00, 1.67338272e+00, 1.84434327e+00,\n",
       "        1.18652772e+00, 1.06598429e+00, 1.10427261e+00, 8.85406375e-01,\n",
       "        1.59654488e+00, 1.05359797e+00, 7.94997551e-01, 8.94575191e-01,\n",
       "        1.20785011e+00, 1.20347304e+00, 8.41341928e-01, 8.86036640e-01,\n",
       "        2.16755301e+00, 2.35351673e+00, 1.65238322e+00, 1.90427417e+00,\n",
       "        1.45103551e+00, 8.16720491e-01, 1.03818151e+00, 8.38262308e-01,\n",
       "        8.82312732e-01, 1.05000431e+00, 7.86237537e-01, 8.19402959e-01,\n",
       "        1.84921270e+00, 9.83345881e-01, 8.28636668e-01, 1.12171774e+00,\n",
       "        7.19189634e-01, 6.38689406e-01, 6.58188672e-01, 5.00168163e-01,\n",
       "        5.92004235e-01, 8.95973841e-01, 1.27301644e+00, 8.79332804e-01,\n",
       "        6.88239154e-01, 9.80870706e-01, 1.02399546e+00, 1.34207861e+00,\n",
       "        1.37479402e+00, 4.35196965e-01, 6.19419349e-01, 4.72782530e-01,\n",
       "        5.39348724e-01, 6.79525412e-01, 7.38321602e-01, 2.55270389e-01,\n",
       "        3.58460910e-01, 3.85371391e-01, 5.87003920e-01, 7.37762608e-01,\n",
       "        5.71634728e-01, 6.51434596e-01, 7.98039991e-01, 3.74599346e-01,\n",
       "        3.90790307e-01, 3.97267377e-01, 4.85038334e-01, 4.80561790e-01,\n",
       "        4.66239905e-01, 3.68095128e-01, 5.11836347e-01, 1.38128926e+00,\n",
       "...\n",
       "        3.25186308e-01, 5.00049022e-01, 6.23246395e-01, 8.17481129e-01,\n",
       "        8.96455976e-01, 6.15223076e-01, 3.97117000e-01, 3.13258832e-01,\n",
       "        3.24987064e-01, 3.08968087e-01, 4.20914018e-01, 4.91655894e-01,\n",
       "        5.31512222e-01, 4.65767590e-01, 5.47083400e-01, 6.65624810e-01,\n",
       "        6.97367910e-01, 7.88680072e-01, 9.03599183e-01, 8.89518039e-01,\n",
       "        7.84540603e-01, 6.88644361e-01, 1.22518615e+00, 9.09564881e-01,\n",
       "        2.42740891e+00, 8.79995786e-01, 1.02922589e+00, 7.91387901e-01,\n",
       "        7.69600970e-01, 5.49832772e-01, 6.69200609e-01, 7.16426422e-01,\n",
       "        1.03495316e+00, 9.25677105e-01, 4.07333634e-01, 4.25491127e-01,\n",
       "        2.52136553e-01, 1.47600967e+00, 1.68103108e+00, 4.62303448e-01,\n",
       "        5.16952067e-01, 5.58534697e-01, 4.12061311e-01, 6.67165751e-01,\n",
       "        5.47530792e-01, 4.42297946e-01, 3.11253767e-01, 5.10951331e-01,\n",
       "        6.17560399e-01, 3.53787619e-01, 2.00813905e-01, 2.70625330e-01,\n",
       "        3.12131452e-01, 1.05820817e+00, 8.65805817e-01, 3.74624899e-01,\n",
       "        5.81460395e-01, 6.65392170e-01, 3.24354485e-01, 4.30282768e-01,\n",
       "        8.76853894e-01, 1.83756696e+00, 1.27497405e+00, 8.41920138e-01,\n",
       "        4.28461405e-01, 4.85285057e-01, 1.17163761e+00, 1.24792967e+00,\n",
       "        1.06701243e+00, 8.27602654e-01, 6.28877088e-01, 6.71391642e-01,\n",
       "        5.18900760e-01, 1.79933440e-01, 2.06892729e-01, 3.25106833e-01,\n",
       "        3.29724326e-01, 7.37925653e-01, 6.89858532e-01, 7.35190176e-01]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_subj.0</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.315 4.398 3.763 ... 0.1591 0.1722</div><input id='attrs-a39228a1-428d-4e3c-9194-e418116c8398' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a39228a1-428d-4e3c-9194-e418116c8398' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b6f73fa3-eaae-435b-b29a-88c7ea01da85' class='xr-var-data-in' type='checkbox'><label for='data-b6f73fa3-eaae-435b-b29a-88c7ea01da85' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 3.15008368e-01,  4.39803810e+00,  3.76319751e+00,\n",
       "         3.59511359e+00,  3.25550013e+00,  3.31479124e+00,\n",
       "         2.55213872e+00,  1.14461554e+00,  7.97719545e-01,\n",
       "         1.88605990e-01,  3.62992174e-01,  4.31127227e-01,\n",
       "         3.52035463e-01,  2.35207108e-01,  1.09891422e-01,\n",
       "         1.08975535e-01,  1.28872088e-01,  9.01494733e-02,\n",
       "         6.69838907e-02,  1.18055491e-01,  1.82179327e-01,\n",
       "         7.14141068e-02,  1.94242499e-01,  1.84656935e-01,\n",
       "         1.31642128e-01,  1.21151884e-01,  2.30474256e-02,\n",
       "         8.56745007e-02, -3.83065813e-02,  1.42441597e-01,\n",
       "         1.52786234e-01,  1.54369571e-01,  1.79233548e-01,\n",
       "         1.47405594e-01,  1.53297075e-01,  8.94094605e-02,\n",
       "         1.45598553e-01,  1.73765831e-01,  8.34619913e-02,\n",
       "         2.01362254e-01,  1.27369935e-01,  1.14715463e-01,\n",
       "         5.23076672e-02,  7.66567893e-02,  1.31842991e-01,\n",
       "         1.07155926e-01,  1.44940598e-01,  1.90103299e-01,\n",
       "         1.83215570e-01,  1.15940747e-02,  6.02772139e-02,\n",
       "         1.77391996e-01,  1.05259659e-01,  5.04200125e-02,\n",
       "         9.79621488e-02,  8.11920387e-02,  1.42890789e-01,\n",
       "         8.99310958e-02,  1.67886235e-01,  8.52322566e-02,\n",
       "...\n",
       "         1.02339521e-01,  5.07208175e-02,  2.04811271e-01,\n",
       "         1.91875882e-01,  1.29220930e-01,  1.42435197e-01,\n",
       "         1.00587186e-01,  1.44108430e-01,  9.82148312e-02,\n",
       "         8.91082577e-02,  1.81457959e-01,  1.37168263e-01,\n",
       "         1.55700471e-01,  8.06755765e-02,  1.96510254e-01,\n",
       "         1.82174421e-01,  6.74515032e-02,  1.06865727e-01,\n",
       "         1.14206767e-01,  1.73418838e-01,  1.27865350e-01,\n",
       "         1.79180778e-01,  1.71368976e-01,  7.96356314e-02,\n",
       "         2.07510025e-01,  1.74709151e-01,  1.32128432e-01,\n",
       "         1.22520379e-01,  2.50657786e-01,  4.34140726e-02,\n",
       "         2.19339179e-01,  1.15494008e-01,  1.32931251e-01,\n",
       "         1.46243781e-01,  1.11397841e-01,  1.86330829e-01,\n",
       "         1.80032993e-01,  1.96837067e-01,  1.90933096e-01,\n",
       "         2.34301875e-01,  2.57536143e-01,  1.70517478e-01,\n",
       "         7.98134079e-02, -2.20266265e-03,  9.20391583e-02,\n",
       "         1.20935135e-01,  2.04028545e-01,  1.61007120e-01,\n",
       "         1.41742575e-01,  1.62661341e-01,  8.00661884e-02,\n",
       "         2.49343400e-01, -1.20789130e-02,  1.42899614e-01,\n",
       "         1.80954895e-01,  1.41901398e-01,  1.23917045e-01,\n",
       "         1.59134928e-01,  1.72184447e-01]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_subj.1</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.232 1.381 ... 0.6358 0.6248</div><input id='attrs-6d5fcd78-d1f8-42ce-9c0c-79bf3692c7c1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6d5fcd78-d1f8-42ce-9c0c-79bf3692c7c1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-64aa1ae3-d077-4b4e-92c6-4e642483832a' class='xr-var-data-in' type='checkbox'><label for='data-64aa1ae3-d077-4b4e-92c6-4e642483832a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[1.23172618, 1.38144848, 0.56860336, 0.68986965, 0.62855397,\n",
       "        0.46826464, 0.46216265, 0.7966467 , 0.7127049 , 0.68245537,\n",
       "        0.61408772, 0.52301542, 0.5623301 , 0.67565415, 0.62525489,\n",
       "        0.62116951, 0.70720496, 0.75171036, 0.56673331, 0.6581203 ,\n",
       "        0.80738217, 0.59872182, 0.64538085, 0.7571694 , 0.49826267,\n",
       "        0.58417691, 0.56960574, 0.60185511, 0.57627567, 0.66115695,\n",
       "        0.81696492, 0.774625  , 0.79893753, 0.75901692, 0.54791853,\n",
       "        0.59637045, 0.66963259, 0.60056232, 0.61367794, 0.59501415,\n",
       "        0.60061212, 0.56961305, 0.57263006, 0.55566152, 0.6097005 ,\n",
       "        0.62009326, 0.66491772, 0.63548586, 0.66521138, 0.62362417,\n",
       "        0.57541242, 0.60199847, 0.62413245, 0.51653791, 0.49938542,\n",
       "        0.49169836, 0.75023323, 0.69579942, 0.67400394, 0.72129798,\n",
       "        0.70863942, 0.63143306, 0.64560926, 0.81072019, 0.68734808,\n",
       "        0.66275248, 0.73037166, 0.7509121 , 0.73408328, 0.63792557,\n",
       "        0.67471212, 0.69420765, 0.66228131, 0.83056223, 0.74462222,\n",
       "        0.70904008, 0.71745154, 0.71970357, 0.55925458, 0.93134136,\n",
       "        0.58457005, 0.78412692, 0.72060266, 0.75636562, 0.7142253 ,\n",
       "        0.63734487, 0.69899158, 0.75191848, 0.65046151, 0.73093975,\n",
       "        0.72351465, 0.68848062, 0.68680883, 0.70701364, 0.61287529,\n",
       "        0.67303408, 0.79666856, 0.78279091, 0.68205624, 0.80889195,\n",
       "...\n",
       "        0.63303688, 0.63653621, 0.6663403 , 0.71940345, 0.72086522,\n",
       "        0.64760621, 0.60681245, 0.72242565, 0.71080627, 0.57291129,\n",
       "        0.54302689, 0.82147593, 0.71819907, 0.7074019 , 0.72337569,\n",
       "        0.75262379, 0.69611073, 0.66493145, 0.63788418, 0.76166637,\n",
       "        0.71289709, 0.66153682, 0.74279647, 0.73442134, 0.75656871,\n",
       "        0.65773276, 0.73950726, 0.58183691, 0.59540043, 0.71609576,\n",
       "        0.67589825, 0.64443381, 0.71829441, 0.69319491, 0.65130771,\n",
       "        0.64006252, 0.66484606, 0.66247107, 0.64839398, 0.71725254,\n",
       "        0.70045019, 0.64920642, 0.64575312, 0.63055133, 0.62736658,\n",
       "        0.66930125, 0.68422256, 0.58873758, 0.57091276, 0.6740931 ,\n",
       "        0.65061883, 0.73010246, 0.63605538, 0.54387587, 0.66715074,\n",
       "        0.67074721, 0.65695268, 0.71180536, 0.74191844, 0.66636861,\n",
       "        0.74810544, 0.67510047, 0.64403486, 0.76635621, 0.62749474,\n",
       "        0.76813065, 0.6797213 , 0.71797346, 0.65189865, 0.64706677,\n",
       "        0.61467511, 0.71128687, 0.67137837, 0.66397976, 0.69616385,\n",
       "        0.71141172, 0.56873226, 0.73210132, 0.6825762 , 0.62852089,\n",
       "        0.69956621, 0.61951205, 0.56632519, 0.76731914, 0.77163275,\n",
       "        0.69577927, 0.66065166, 0.66426626, 0.64861285, 0.58191705,\n",
       "        0.54398966, 0.79736129, 0.60152213, 0.71162346, 0.68434785,\n",
       "        0.67530574, 0.75339107, 0.68235155, 0.63577181, 0.62476865]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_subj.2</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.702 1.467 ... 0.5192 0.7916</div><input id='attrs-1bdc07ec-4e58-488c-8e78-9c591d0ec686' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1bdc07ec-4e58-488c-8e78-9c591d0ec686' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e8e04ffc-713c-4560-b619-b757050a4f5c' class='xr-var-data-in' type='checkbox'><label for='data-e8e04ffc-713c-4560-b619-b757050a4f5c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[1.70236494, 1.46694069, 0.69925537, 1.02496871, 1.01598165,\n",
       "        0.98451875, 0.88659729, 0.72397878, 0.71930357, 0.70420376,\n",
       "        0.79127218, 0.70596728, 0.7716798 , 0.6707709 , 0.70553583,\n",
       "        0.60484739, 0.57237965, 0.67627522, 0.60498904, 0.59334865,\n",
       "        0.48957079, 0.53112871, 0.57231803, 0.58216851, 0.55771121,\n",
       "        0.48878669, 0.66753123, 0.70808773, 0.56988895, 0.39902107,\n",
       "        0.4854917 , 0.5552882 , 0.4841063 , 0.54587766, 0.59513617,\n",
       "        0.46519115, 0.5117482 , 0.62268361, 0.61801608, 0.65533722,\n",
       "        0.62461133, 0.69192372, 0.67644479, 0.76859917, 0.52256162,\n",
       "        0.40172793, 0.58305216, 0.58426707, 0.44367461, 0.62989456,\n",
       "        0.48612734, 0.53494992, 0.52390801, 0.42532871, 0.41120649,\n",
       "        0.4959198 , 0.57426521, 0.83452212, 0.82456331, 0.61832922,\n",
       "        0.79211907, 0.29527601, 0.50811788, 0.55569366, 0.65350659,\n",
       "        0.62155061, 0.70341074, 0.63382417, 0.59612532, 0.68766927,\n",
       "        0.71540582, 0.73288708, 0.59814448, 0.50874403, 0.65725185,\n",
       "        0.63771413, 0.68496677, 0.72640192, 0.74694253, 0.52276747,\n",
       "        0.3878748 , 0.85525127, 0.46823561, 0.82080199, 0.80620879,\n",
       "        0.66020874, 0.66004121, 0.60415123, 0.59845361, 0.58700211,\n",
       "        0.56184225, 0.65217517, 0.58658041, 0.6761362 , 0.61398526,\n",
       "        0.62964254, 0.64259624, 0.56017019, 0.69116096, 0.66764799,\n",
       "...\n",
       "        0.6836751 , 0.49782685, 0.53483598, 0.52351932, 0.60846698,\n",
       "        0.41550543, 0.55478169, 0.49095192, 0.56751334, 0.53770302,\n",
       "        0.55661714, 0.52519986, 0.57769707, 0.52468364, 0.6193844 ,\n",
       "        0.56451468, 0.6707052 , 0.62807254, 0.54540582, 0.54861691,\n",
       "        0.62915194, 0.58916041, 0.65279522, 0.51782021, 0.54059308,\n",
       "        0.54931986, 0.58628874, 0.65354259, 0.4478432 , 0.44972364,\n",
       "        0.50089883, 0.58366609, 0.56980536, 0.63438886, 0.62922982,\n",
       "        0.57606089, 0.75630951, 0.71107347, 0.7277341 , 0.42899938,\n",
       "        0.54945241, 0.57043927, 0.70566707, 0.48802161, 0.49274301,\n",
       "        0.53973103, 0.56661976, 0.57308593, 0.57161678, 0.62797462,\n",
       "        0.66796334, 0.54739697, 0.59063426, 0.62101498, 0.60314204,\n",
       "        0.66387811, 0.57102526, 0.5756465 , 0.68734057, 0.71262432,\n",
       "        0.6165539 , 0.55825405, 0.68542987, 0.8185052 , 0.46054558,\n",
       "        0.55745216, 0.63823784, 0.55394812, 0.64025273, 0.61227092,\n",
       "        0.63307713, 0.4890102 , 0.6598651 , 0.60908396, 0.52207762,\n",
       "        0.51204881, 0.50601882, 0.70956348, 0.49719039, 0.46283391,\n",
       "        0.7224402 , 0.69532896, 0.60338939, 0.70356786, 0.6023223 ,\n",
       "        0.7515319 , 0.60870343, 0.56188359, 0.62313728, 0.63473659,\n",
       "        0.4347571 , 0.40218293, 0.6344357 , 0.44352778, 0.44081921,\n",
       "        0.42906431, 0.50505354, 0.70621527, 0.51917035, 0.7915731 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_subj.3</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.426 -0.5828 ... 0.1497 0.1463</div><input id='attrs-7304c66f-5a28-4411-b395-9cfe1b17c179' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7304c66f-5a28-4411-b395-9cfe1b17c179' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-854d8884-8715-42a6-9d5c-1ec38cb564ad' class='xr-var-data-in' type='checkbox'><label for='data-854d8884-8715-42a6-9d5c-1ec38cb564ad' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 1.42632124e+00, -5.82824430e-01,  2.98085948e-01,\n",
       "         2.59480148e-01,  2.45834990e-01,  1.82226438e-01,\n",
       "        -1.97876368e-02,  1.09534857e-01,  1.35965014e-01,\n",
       "         1.02660421e-01,  3.76832061e-02,  2.82444637e-02,\n",
       "         1.35452986e-01, -2.19144025e-02, -4.30676033e-02,\n",
       "        -2.25262015e-03,  1.18193130e-02,  1.15820143e-01,\n",
       "         6.60937849e-02,  5.42858140e-02,  9.03492141e-02,\n",
       "        -5.48751721e-02, -1.98160906e-02, -9.48648773e-02,\n",
       "        -9.66184864e-02, -2.44188524e-02,  4.88065449e-03,\n",
       "        -5.02414697e-02,  1.14973775e-01,  1.16464527e-01,\n",
       "         2.78200320e-02,  1.29398859e-01,  2.74303022e-02,\n",
       "         1.15840886e-01, -2.22891254e-03,  9.74717452e-02,\n",
       "         4.35406309e-02,  1.40479833e-01,  2.72277556e-01,\n",
       "         3.26424265e-03, -3.58418884e-02, -3.25661995e-02,\n",
       "         2.27939686e-02,  1.42571279e-01,  1.11617326e-01,\n",
       "         1.56095494e-01,  1.06999941e-01,  1.78992853e-01,\n",
       "        -1.91444924e-01, -1.29613459e-01,  1.40482077e-01,\n",
       "         8.59073629e-02, -1.06504465e-01,  1.20247827e-02,\n",
       "         1.07545481e-01,  2.65242698e-01,  7.24039229e-02,\n",
       "         1.37727556e-01,  1.61018116e-01,  1.95812876e-01,\n",
       "...\n",
       "         2.26609833e-01,  7.16609348e-02,  8.24660303e-02,\n",
       "         1.78954761e-01,  4.51004247e-02,  2.88354883e-01,\n",
       "         2.89913660e-01,  7.00844507e-02,  2.40859103e-01,\n",
       "         1.16788669e-01,  1.66334539e-01,  1.64510462e-01,\n",
       "         1.72041867e-01,  1.63143567e-01,  2.45228838e-01,\n",
       "         1.38793460e-01,  2.15783189e-01,  2.23681120e-01,\n",
       "         2.21365727e-01,  1.27387223e-01,  2.47131452e-01,\n",
       "         2.73905298e-01,  3.52769203e-02,  3.40844748e-01,\n",
       "         3.35350109e-01,  1.52159279e-01,  2.03512416e-01,\n",
       "         7.57307318e-02,  1.70411436e-01,  1.65698920e-01,\n",
       "         1.01937062e-01,  2.44650908e-01,  2.60776850e-01,\n",
       "         2.64031022e-01,  3.30096955e-01,  3.00855014e-01,\n",
       "         5.64244457e-02,  1.60408117e-01,  1.08857064e-01,\n",
       "         1.89722291e-01,  2.79547560e-01,  2.79586135e-01,\n",
       "         2.43500784e-01,  2.54482920e-01,  1.99346817e-01,\n",
       "         2.33464580e-01,  1.53355955e-01,  1.41640885e-01,\n",
       "         1.32239501e-01,  1.76593782e-01,  7.47112179e-02,\n",
       "         7.18093340e-02,  1.56780925e-01,  1.86086133e-01,\n",
       "         1.68358585e-01,  1.43490184e-01,  1.70524553e-01,\n",
       "         1.49650042e-01,  1.46302476e-01]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_subj.4</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.728 0.8232 1.917 ... 1.24 1.214</div><input id='attrs-259946bc-ce4f-4425-bc86-757e7e57b632' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-259946bc-ce4f-4425-bc86-757e7e57b632' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c0e7bd10-52c3-4b12-a7da-f360e9ed9a27' class='xr-var-data-in' type='checkbox'><label for='data-c0e7bd10-52c3-4b12-a7da-f360e9ed9a27' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.72803829, 0.82315316, 1.91654229, 1.94029705, 2.52794464,\n",
       "        2.98797384, 2.94712202, 2.96353325, 2.85000367, 2.96164285,\n",
       "        2.90862104, 2.79384019, 2.62497686, 2.72497836, 2.75324384,\n",
       "        2.81542297, 2.90372295, 2.67631327, 2.58062742, 2.56972794,\n",
       "        2.55618407, 2.5926108 , 2.47946857, 2.48925601, 2.51785451,\n",
       "        2.45495259, 2.31737171, 2.40886883, 2.49677873, 2.48680551,\n",
       "        2.37866218, 2.15238747, 2.2339278 , 2.24742508, 2.33547851,\n",
       "        2.37258882, 2.31565073, 2.21699097, 2.25603432, 2.21845928,\n",
       "        2.1462042 , 2.037159  , 2.01419846, 2.10995875, 2.06346953,\n",
       "        1.83470036, 1.76889868, 1.79451022, 1.67763677, 2.05500202,\n",
       "        2.15232741, 2.07550266, 2.07707368, 1.73867612, 1.75069794,\n",
       "        1.58678691, 1.53632931, 1.55139418, 1.59651431, 1.56048113,\n",
       "        1.38863604, 1.05326979, 1.14070281, 1.05127002, 1.06893142,\n",
       "        1.13581416, 1.11144569, 1.22313272, 0.97646388, 1.14061312,\n",
       "        1.12516396, 1.10511121, 1.10390557, 1.15838806, 0.96275904,\n",
       "        1.03975227, 0.98043473, 1.01731537, 1.14505422, 1.06723295,\n",
       "        1.19462773, 1.01699889, 1.24547526, 1.1495936 , 1.16345437,\n",
       "        1.03258141, 1.02434369, 1.05362111, 0.96174951, 1.02016298,\n",
       "        0.9012503 , 0.98122002, 0.9763745 , 1.07295502, 1.00391222,\n",
       "        0.97359268, 1.03980974, 1.03291462, 1.05069875, 1.29233315,\n",
       "...\n",
       "        1.10649966, 0.92129049, 0.9354938 , 0.97379209, 0.97974454,\n",
       "        0.96816111, 0.86860515, 1.08104015, 1.06309452, 0.89583844,\n",
       "        1.10939908, 0.97425904, 1.1182464 , 1.20441257, 1.2115245 ,\n",
       "        0.94419149, 0.85099743, 0.82889729, 1.04690988, 0.93062108,\n",
       "        0.94395338, 0.97270119, 0.89561059, 0.9797927 , 1.03151909,\n",
       "        1.06050048, 0.90202214, 0.95232687, 0.95637153, 0.89898287,\n",
       "        0.99262135, 1.13875055, 1.0696186 , 1.08946643, 0.93741838,\n",
       "        1.07848593, 1.16254086, 1.08451103, 0.97634712, 1.10267999,\n",
       "        1.04417645, 0.94696115, 0.98381715, 0.98215103, 0.9967434 ,\n",
       "        1.05218307, 1.05933407, 0.91297537, 1.06609272, 0.84389957,\n",
       "        1.14985338, 1.04048131, 1.02959472, 1.08400331, 0.99941971,\n",
       "        1.02169949, 0.98845741, 1.04245044, 1.08100365, 1.10196271,\n",
       "        1.14060284, 1.08079262, 0.8824025 , 1.03680275, 1.03080304,\n",
       "        0.87562077, 0.96928529, 0.96552756, 0.93758362, 0.88172578,\n",
       "        0.86430339, 1.05384002, 0.9566273 , 1.02856243, 1.03549125,\n",
       "        1.03051069, 1.02982049, 0.97895432, 0.9615541 , 0.97217662,\n",
       "        1.10488668, 1.00203613, 1.26939976, 1.26839561, 1.08534106,\n",
       "        1.02332248, 1.10162098, 1.08719985, 1.11051235, 1.22848692,\n",
       "        1.11729456, 0.84557856, 0.82666947, 0.96167069, 0.88059688,\n",
       "        1.05450168, 1.00884866, 0.9906581 , 1.23968845, 1.21395738]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>t</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.2534 0.2457 ... 0.4843 0.4757</div><input id='attrs-ce3e4963-9cab-4dca-aee4-9f8ef68741c3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ce3e4963-9cab-4dca-aee4-9f8ef68741c3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fc157511-cd61-458c-a46e-1299e4ff6842' class='xr-var-data-in' type='checkbox'><label for='data-fc157511-cd61-458c-a46e-1299e4ff6842' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.25339813, 0.24570443, 0.30431703, 0.28247706, 0.31481446,\n",
       "        0.34338426, 0.39846159, 0.38609649, 0.37455462, 0.47433687,\n",
       "        0.38367031, 0.48689886, 0.43827317, 0.37839596, 0.47903195,\n",
       "        0.39543493, 0.46695595, 0.38926057, 0.30987961, 0.48662142,\n",
       "        0.3595753 , 0.60619671, 0.61738599, 0.62429411, 0.60906352,\n",
       "        0.60598634, 0.37297079, 0.39635093, 0.34220179, 0.46336356,\n",
       "        0.61966268, 0.43805762, 0.3810126 , 0.45972793, 0.44133993,\n",
       "        0.46441715, 0.40386455, 0.40005247, 0.74277555, 0.62895238,\n",
       "        0.60049038, 0.4660639 , 0.54171203, 0.46442629, 0.44955123,\n",
       "        0.57058817, 0.34883885, 0.44281672, 0.43745095, 0.49229847,\n",
       "        0.48867018, 0.40581895, 0.34635608, 0.50214082, 0.50546106,\n",
       "        0.4930153 , 0.50248386, 0.41567658, 0.49179251, 0.53315089,\n",
       "        0.55924984, 0.57011955, 0.36404099, 0.41233808, 0.37723764,\n",
       "        0.4830403 , 0.44418565, 0.45814442, 0.48998655, 0.473713  ,\n",
       "        0.53102151, 0.43827966, 0.6014963 , 0.39878918, 0.64468389,\n",
       "        0.60355664, 0.44068895, 0.59443944, 0.4065599 , 0.47540739,\n",
       "        0.50024545, 0.48615041, 0.51118788, 0.52085358, 0.48515662,\n",
       "        0.50606685, 0.44300432, 0.4788887 , 0.49083899, 0.57151625,\n",
       "        0.57794724, 0.54230528, 0.4996398 , 0.37193485, 0.45483834,\n",
       "        0.43229216, 0.45251096, 0.42318099, 0.51649809, 0.54289839,\n",
       "...\n",
       "        0.47536115, 0.44217763, 0.50964733, 0.42621969, 0.45250104,\n",
       "        0.4803406 , 0.51027063, 0.53738269, 0.41739508, 0.51812248,\n",
       "        0.4467026 , 0.4480479 , 0.47919968, 0.4733821 , 0.48419025,\n",
       "        0.4807087 , 0.47058787, 0.43821076, 0.48536963, 0.44782512,\n",
       "        0.47068673, 0.43254853, 0.5055299 , 0.50414249, 0.5496912 ,\n",
       "        0.48006831, 0.49017728, 0.4254046 , 0.50402323, 0.38202257,\n",
       "        0.46705147, 0.3365877 , 0.4984926 , 0.68203804, 0.62570328,\n",
       "        0.6193994 , 0.57331328, 0.55359465, 0.4251231 , 0.47691074,\n",
       "        0.45321581, 0.48386753, 0.4194966 , 0.53115152, 0.52286283,\n",
       "        0.53183965, 0.50317543, 0.42128874, 0.5503003 , 0.47551373,\n",
       "        0.64095131, 0.61040167, 0.56287824, 0.42738192, 0.50108163,\n",
       "        0.39262216, 0.49124779, 0.4915931 , 0.47811728, 0.47806766,\n",
       "        0.47176508, 0.43616577, 0.37547838, 0.45627473, 0.40350144,\n",
       "        0.42650404, 0.39927377, 0.52234683, 0.48303823, 0.42373382,\n",
       "        0.42971825, 0.485779  , 0.45299139, 0.49744576, 0.47532569,\n",
       "        0.44730877, 0.49618553, 0.39787265, 0.42815634, 0.46140713,\n",
       "        0.48466118, 0.46087899, 0.42344142, 0.50719304, 0.45365197,\n",
       "        0.48038169, 0.43070632, 0.50783268, 0.5157438 , 0.46189711,\n",
       "        0.47578276, 0.47969515, 0.49905635, 0.49290203, 0.48772759,\n",
       "        0.43378144, 0.49328802, 0.47109748, 0.48433533, 0.4756766 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>t_std</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.5426 0.3173 ... 0.1458 0.09792</div><input id='attrs-49632908-bd2a-412d-9a64-a8107ff3a204' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-49632908-bd2a-412d-9a64-a8107ff3a204' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bfcc0de3-a5c7-4bac-ab3e-826078ca3c59' class='xr-var-data-in' type='checkbox'><label for='data-bfcc0de3-a5c7-4bac-ab3e-826078ca3c59' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.5425907 , 0.31731426, 0.56964249, 0.58239038, 0.49963486,\n",
       "        0.50587831, 0.55218183, 0.37285181, 0.36865523, 0.20670911,\n",
       "        0.23597238, 0.30541376, 0.18910013, 0.20815226, 0.19038133,\n",
       "        0.21346795, 0.13621513, 0.09039448, 0.18383442, 0.18031134,\n",
       "        0.33876015, 0.26265878, 0.41954154, 0.52770846, 0.18732844,\n",
       "        0.18892909, 0.30995417, 0.30015174, 0.31208965, 0.36066716,\n",
       "        0.26365491, 0.1628922 , 0.12358824, 0.0954647 , 0.12200968,\n",
       "        0.14300414, 0.27147808, 0.30792451, 0.46017443, 0.42966359,\n",
       "        0.43177578, 0.19927944, 0.19125337, 0.1663428 , 0.15807762,\n",
       "        0.12636884, 0.1118048 , 0.09253186, 0.10842599, 0.08354086,\n",
       "        0.08371983, 0.19447923, 0.2291824 , 0.28543584, 0.28545373,\n",
       "        0.12293592, 0.13122927, 0.07410591, 0.07882133, 0.2142208 ,\n",
       "        0.15486457, 0.11879663, 0.15697917, 0.12657654, 0.11899371,\n",
       "        0.12007748, 0.0760204 , 0.11713278, 0.05964761, 0.14068062,\n",
       "        0.1037395 , 0.34137724, 0.2488354 , 0.19994407, 0.19604776,\n",
       "        0.24390753, 0.214493  , 0.24503315, 0.17914051, 0.19596328,\n",
       "        0.12616174, 0.21304136, 0.15736858, 0.12212575, 0.10651009,\n",
       "        0.09050435, 0.18354493, 0.11197587, 0.18095762, 0.2634281 ,\n",
       "        0.29688873, 0.30846224, 0.25899358, 0.08058411, 0.14032492,\n",
       "        0.10235959, 0.12268734, 0.1287879 , 0.13746872, 0.09352921,\n",
       "...\n",
       "        0.07614564, 0.0848344 , 0.0905086 , 0.08191851, 0.08406381,\n",
       "        0.07558634, 0.14399214, 0.0849244 , 0.0893666 , 0.1245503 ,\n",
       "        0.17103052, 0.09652054, 0.07688303, 0.09008393, 0.08670809,\n",
       "        0.12735128, 0.11669618, 0.07335367, 0.09344121, 0.07918649,\n",
       "        0.09035021, 0.11614099, 0.19175105, 0.14217963, 0.17963461,\n",
       "        0.09492406, 0.07540767, 0.07976604, 0.0986437 , 0.23289289,\n",
       "        0.21063314, 0.23965992, 0.25350979, 0.25338831, 0.29176972,\n",
       "        0.21510386, 0.20905069, 0.1073003 , 0.12022031, 0.11688455,\n",
       "        0.11909354, 0.12711956, 0.13921267, 0.17594241, 0.19050343,\n",
       "        0.14518346, 0.10393852, 0.18520141, 0.1227643 , 0.39918514,\n",
       "        0.23318815, 0.25945126, 0.34341765, 0.35267989, 0.22910192,\n",
       "        0.1011942 , 0.13909469, 0.06673023, 0.11488015, 0.10761467,\n",
       "        0.08624616, 0.07607731, 0.14218157, 0.1604299 , 0.06518651,\n",
       "        0.10157612, 0.15026213, 0.07328323, 0.09581993, 0.11777219,\n",
       "        0.13889676, 0.07084469, 0.06819642, 0.14248033, 0.1100143 ,\n",
       "        0.13370265, 0.14590647, 0.1037085 , 0.157455  , 0.06301137,\n",
       "        0.07900487, 0.07908678, 0.11641367, 0.12162038, 0.08991602,\n",
       "        0.08135648, 0.13802359, 0.1119609 , 0.10171666, 0.17798573,\n",
       "        0.07950339, 0.09346028, 0.09451892, 0.07582242, 0.08658388,\n",
       "        0.09092373, 0.06520551, 0.16775594, 0.14582008, 0.09792206]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>t_subj.0</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.002558 0.02238 ... 0.5813 0.5759</div><input id='attrs-b6305221-e4ed-4184-b97c-42709ca751e7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b6305221-e4ed-4184-b97c-42709ca751e7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5dfd559b-5201-4c03-b7dc-db1f1bd1e28b' class='xr-var-data-in' type='checkbox'><label for='data-5dfd559b-5201-4c03-b7dc-db1f1bd1e28b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.00255794, 0.02238177, 0.02806827, 0.02841073, 0.03021688,\n",
       "        0.11613986, 0.11598814, 0.08146177, 0.92085068, 0.60102546,\n",
       "        0.5730098 , 0.60392235, 0.60829387, 0.52986931, 0.51793998,\n",
       "        0.61990953, 0.64721735, 0.50214853, 0.50322477, 0.54398763,\n",
       "        0.55262503, 0.55486087, 0.52368996, 0.50565689, 0.53754093,\n",
       "        0.56333868, 0.53275502, 0.55746917, 0.56348823, 0.58457773,\n",
       "        0.54980033, 0.5086591 , 0.49991627, 0.53422308, 0.49094147,\n",
       "        0.56884321, 0.55266925, 0.5560134 , 0.59444398, 0.61716243,\n",
       "        0.55291001, 0.53348191, 0.55720807, 0.56703697, 0.59710099,\n",
       "        0.53735192, 0.52963409, 0.55035315, 0.52780035, 0.52411398,\n",
       "        0.5223839 , 0.50969937, 0.55919351, 0.55995257, 0.48854072,\n",
       "        0.5442178 , 0.55608548, 0.56559686, 0.51637386, 0.59843643,\n",
       "        0.58546568, 0.57563742, 0.59143318, 0.51626171, 0.53748905,\n",
       "        0.53479355, 0.52860147, 0.52505179, 0.52667564, 0.53095234,\n",
       "        0.54140479, 0.52529712, 0.56994048, 0.56025661, 0.58385912,\n",
       "        0.51096456, 0.53084374, 0.5043985 , 0.54463036, 0.56530995,\n",
       "        0.56277672, 0.52524196, 0.52019369, 0.52865506, 0.5291395 ,\n",
       "        0.53313193, 0.53292132, 0.57603991, 0.5868414 , 0.56761255,\n",
       "        0.58242161, 0.55871107, 0.54120478, 0.56679884, 0.52579919,\n",
       "        0.57781907, 0.5810654 , 0.58185204, 0.63797074, 0.55426387,\n",
       "...\n",
       "        0.52992186, 0.53607054, 0.57675774, 0.54489473, 0.55896697,\n",
       "        0.58730548, 0.60636387, 0.55196695, 0.55093131, 0.5277061 ,\n",
       "        0.52284552, 0.54748285, 0.54183151, 0.55176073, 0.56227228,\n",
       "        0.52774908, 0.53470696, 0.52307762, 0.53274579, 0.51491563,\n",
       "        0.5498716 , 0.53664025, 0.5512464 , 0.56330332, 0.59510501,\n",
       "        0.57522754, 0.50024095, 0.53993433, 0.59142249, 0.5337965 ,\n",
       "        0.57162241, 0.57311395, 0.56082621, 0.58178473, 0.54934777,\n",
       "        0.53239212, 0.56338881, 0.53328559, 0.54921045, 0.55928379,\n",
       "        0.58569151, 0.53680958, 0.55036035, 0.53358804, 0.63264973,\n",
       "        0.53681617, 0.53414387, 0.57445105, 0.56464447, 0.55457697,\n",
       "        0.54571327, 0.52441468, 0.5642366 , 0.53047347, 0.50698566,\n",
       "        0.56090315, 0.52638448, 0.63463406, 0.57703454, 0.52860696,\n",
       "        0.54559647, 0.52246959, 0.56195712, 0.54848969, 0.58704719,\n",
       "        0.52602191, 0.54996292, 0.56915354, 0.50979504, 0.52300875,\n",
       "        0.55072605, 0.51940139, 0.5313485 , 0.61096036, 0.5850707 ,\n",
       "        0.59572207, 0.56219956, 0.52227316, 0.52318359, 0.53367971,\n",
       "        0.55114891, 0.51308875, 0.51965893, 0.54307481, 0.55444914,\n",
       "        0.52173883, 0.53850643, 0.54855608, 0.5944172 , 0.53641621,\n",
       "        0.52277788, 0.53022082, 0.54103008, 0.50911992, 0.50665188,\n",
       "        0.53040136, 0.56767775, 0.55415802, 0.58131863, 0.57592458]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>t_subj.1</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.65 0.1514 ... 0.3935 0.4154</div><input id='attrs-d96ed9af-c57b-4da7-97fd-818c4eda8549' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d96ed9af-c57b-4da7-97fd-818c4eda8549' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fd3d490b-62b8-4db5-93be-7afaf537cf13' class='xr-var-data-in' type='checkbox'><label for='data-fd3d490b-62b8-4db5-93be-7afaf537cf13' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[6.50009581e-01, 1.51370185e-01, 1.78471023e-01, 3.68363993e-01,\n",
       "        4.32826675e-01, 4.26692652e-01, 3.96024052e-01, 4.17030935e-01,\n",
       "        3.86583258e-01, 4.13898390e-01, 4.12815473e-01, 4.03900463e-01,\n",
       "        4.01514945e-01, 3.75683753e-01, 3.59852043e-01, 3.64803516e-01,\n",
       "        3.75625460e-01, 3.90351523e-01, 4.06393376e-01, 3.87206216e-01,\n",
       "        3.95308221e-01, 3.83304652e-01, 3.86867588e-01, 3.83820637e-01,\n",
       "        4.00293255e-01, 4.30914853e-01, 4.22603784e-01, 3.80846959e-01,\n",
       "        4.10396535e-01, 3.95520708e-01, 4.04461978e-01, 4.10168879e-01,\n",
       "        3.37782513e-01, 4.19882989e-01, 3.82129551e-01, 4.02840227e-01,\n",
       "        4.31401165e-01, 4.18172102e-01, 4.05725771e-01, 4.28978313e-01,\n",
       "        4.29100613e-01, 4.06585488e-01, 4.14022013e-01, 4.04450852e-01,\n",
       "        4.20919194e-01, 3.75215648e-01, 4.00366797e-01, 3.99813765e-01,\n",
       "        4.12126535e-01, 3.97816411e-01, 4.03267323e-01, 4.03200121e-01,\n",
       "        3.95558113e-01, 4.08005817e-01, 4.42626833e-01, 4.19592400e-01,\n",
       "        4.16390411e-01, 3.93284066e-01, 3.96739114e-01, 4.00731619e-01,\n",
       "        4.00479762e-01, 3.97602925e-01, 4.01311082e-01, 3.83173021e-01,\n",
       "        3.88322641e-01, 3.82046960e-01, 4.12327822e-01, 4.16525362e-01,\n",
       "        4.23246239e-01, 4.04042813e-01, 4.26738043e-01, 4.20611317e-01,\n",
       "        3.92348524e-01, 3.82476099e-01, 4.00965146e-01, 3.98459356e-01,\n",
       "        3.77444596e-01, 3.91081118e-01, 3.79759464e-01, 3.87804095e-01,\n",
       "...\n",
       "        3.87046999e-01, 3.59081172e-01, 3.65923306e-01, 4.05707700e-01,\n",
       "        4.09388867e-01, 3.99886745e-01, 3.93429631e-01, 3.72759128e-01,\n",
       "        3.87746413e-01, 4.19003721e-01, 3.96727841e-01, 3.93995323e-01,\n",
       "        3.80386676e-01, 4.12030851e-01, 4.10940919e-01, 3.95011275e-01,\n",
       "        3.95445785e-01, 3.99798923e-01, 3.89113525e-01, 3.82069109e-01,\n",
       "        4.07571665e-01, 4.16960881e-01, 4.17573636e-01, 3.99853816e-01,\n",
       "        4.09786874e-01, 4.11688979e-01, 4.00937399e-01, 3.85480838e-01,\n",
       "        4.11143795e-01, 4.00671845e-01, 4.06610047e-01, 3.88758296e-01,\n",
       "        3.91690329e-01, 4.04953854e-01, 4.06899418e-01, 3.80216096e-01,\n",
       "        3.70718938e-01, 3.75360437e-01, 4.13290603e-01, 3.68994273e-01,\n",
       "        3.96738377e-01, 3.96551595e-01, 3.79800073e-01, 4.06564520e-01,\n",
       "        3.89116072e-01, 4.11262027e-01, 3.79770758e-01, 3.99913470e-01,\n",
       "        4.00999419e-01, 3.99247685e-01, 4.23779320e-01, 4.09209506e-01,\n",
       "        3.95135173e-01, 4.00442996e-01, 3.78244345e-01, 3.95873682e-01,\n",
       "        4.33669563e-01, 3.55755562e-01, 3.40708866e-01, 3.94751140e-01,\n",
       "        3.95475233e-01, 3.96325302e-01, 4.15548082e-01, 3.91303033e-01,\n",
       "        3.97352605e-01, 3.64237379e-01, 4.07683728e-01, 4.03057165e-01,\n",
       "        3.78151340e-01, 4.02348345e-01, 4.07269797e-01, 4.27142840e-01,\n",
       "        3.93996438e-01, 3.95941944e-01, 4.02304370e-01, 3.94825664e-01,\n",
       "        3.62306087e-01, 3.85396046e-01, 3.93528694e-01, 4.15408105e-01]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>t_subj.2</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.07226 0.3069 ... 0.4996 0.4902</div><input id='attrs-87f0e02a-57ec-4646-b85c-958e26a04548' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-87f0e02a-57ec-4646-b85c-958e26a04548' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9bb0d3f2-369b-430e-9315-38ea3409b622' class='xr-var-data-in' type='checkbox'><label for='data-9bb0d3f2-369b-430e-9315-38ea3409b622' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.07225676, 0.30693367, 0.35250314, 0.38242999, 0.39744293,\n",
       "        0.42378797, 0.45071516, 0.44452748, 0.49222263, 0.49951309,\n",
       "        0.49413088, 0.48622748, 0.48292082, 0.48895639, 0.49501907,\n",
       "        0.50667115, 0.50894423, 0.51051764, 0.51386901, 0.49338873,\n",
       "        0.48642481, 0.50316393, 0.49062313, 0.49151089, 0.48733286,\n",
       "        0.49826925, 0.49118634, 0.4961093 , 0.47986043, 0.49253367,\n",
       "        0.49103925, 0.51599506, 0.51556053, 0.50405518, 0.50225994,\n",
       "        0.50823624, 0.4872615 , 0.50281051, 0.48604383, 0.50943167,\n",
       "        0.49260131, 0.49830419, 0.4923978 , 0.4911902 , 0.499614  ,\n",
       "        0.49146486, 0.503989  , 0.5012011 , 0.4987298 , 0.49872066,\n",
       "        0.50607203, 0.50010178, 0.50783008, 0.51495626, 0.51043877,\n",
       "        0.49198779, 0.49809527, 0.49997211, 0.49890578, 0.46977353,\n",
       "        0.49944822, 0.51261155, 0.51543353, 0.50488976, 0.49255574,\n",
       "        0.49068268, 0.50707515, 0.50863024, 0.49478005, 0.49707811,\n",
       "        0.51239972, 0.48941302, 0.49856428, 0.49423871, 0.49380316,\n",
       "        0.49074736, 0.49080935, 0.5023296 , 0.49770805, 0.49423265,\n",
       "        0.49425498, 0.48110989, 0.48862835, 0.49284542, 0.49526534,\n",
       "        0.49312859, 0.46940544, 0.49177384, 0.4839423 , 0.48528972,\n",
       "        0.49547437, 0.46818097, 0.49237575, 0.4842661 , 0.49092757,\n",
       "        0.50336914, 0.48561978, 0.49529304, 0.48589923, 0.4949847 ,\n",
       "...\n",
       "        0.50246822, 0.49922137, 0.49523144, 0.49996042, 0.49450892,\n",
       "        0.49321881, 0.49116165, 0.49583556, 0.48998361, 0.49655644,\n",
       "        0.49720131, 0.49752118, 0.48585871, 0.49446361, 0.49895215,\n",
       "        0.4920337 , 0.49455415, 0.49671245, 0.4988905 , 0.4849572 ,\n",
       "        0.49469139, 0.51200599, 0.50194652, 0.49477159, 0.49859267,\n",
       "        0.49141696, 0.48742914, 0.49711716, 0.50172345, 0.50137602,\n",
       "        0.50588916, 0.50666842, 0.49694751, 0.50130343, 0.49051195,\n",
       "        0.50039265, 0.49128508, 0.49764499, 0.50523228, 0.50220441,\n",
       "        0.48503596, 0.49125357, 0.50615154, 0.49948478, 0.51058592,\n",
       "        0.48036737, 0.49250923, 0.50141443, 0.49309857, 0.49481809,\n",
       "        0.48985127, 0.49973069, 0.49488854, 0.49584475, 0.47915914,\n",
       "        0.48529818, 0.49026655, 0.50253203, 0.49228312, 0.48724387,\n",
       "        0.50063176, 0.48859039, 0.49601399, 0.49140583, 0.48447153,\n",
       "        0.494623  , 0.49053706, 0.49514046, 0.50105984, 0.50240906,\n",
       "        0.48305053, 0.5029291 , 0.5078434 , 0.49822631, 0.50894803,\n",
       "        0.49365905, 0.49557964, 0.49741768, 0.50230152, 0.50823052,\n",
       "        0.49395385, 0.48536086, 0.47700369, 0.48428024, 0.4797627 ,\n",
       "        0.48376992, 0.495056  , 0.50393932, 0.50107134, 0.49922094,\n",
       "        0.49719588, 0.51045427, 0.48637866, 0.49176664, 0.49556241,\n",
       "        0.48208763, 0.49674691, 0.50225727, 0.49961711, 0.49023707]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>t_subj.3</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.244 0.7532 ... 0.513 0.5617</div><input id='attrs-8e27bc8e-4d5b-4069-ad7e-3fdb4892f3e9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8e27bc8e-4d5b-4069-ad7e-3fdb4892f3e9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-55ee9e41-39a6-471f-8654-19d73f4387ea' class='xr-var-data-in' type='checkbox'><label for='data-55ee9e41-39a6-471f-8654-19d73f4387ea' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[1.24389729, 0.75315339, 0.4092196 , 0.57214799, 0.50891941,\n",
       "        0.58052229, 0.60382702, 0.58927368, 0.58471372, 0.53121982,\n",
       "        0.62958446, 0.59301475, 0.57652097, 0.58830373, 0.58591832,\n",
       "        0.57386435, 0.57424308, 0.58440747, 0.53336151, 0.58283022,\n",
       "        0.58877348, 0.5763212 , 0.60710052, 0.59979389, 0.59480726,\n",
       "        0.60135958, 0.58641556, 0.56906375, 0.56679777, 0.59464885,\n",
       "        0.57214939, 0.54767465, 0.54242907, 0.5714395 , 0.57177113,\n",
       "        0.62182184, 0.57756406, 0.57388109, 0.57579856, 0.58796388,\n",
       "        0.59937586, 0.6109055 , 0.58591528, 0.63247151, 0.62100944,\n",
       "        0.58998491, 0.55509567, 0.57512917, 0.56275469, 0.54828197,\n",
       "        0.56544998, 0.57444598, 0.58752966, 0.58541995, 0.54582586,\n",
       "        0.57682345, 0.53934279, 0.5502609 , 0.53930807, 0.58122312,\n",
       "        0.59027313, 0.56143615, 0.58008681, 0.61064955, 0.5514768 ,\n",
       "        0.55948504, 0.53198384, 0.55812703, 0.56134295, 0.55862511,\n",
       "        0.55851172, 0.5627137 , 0.54305365, 0.53478203, 0.55437263,\n",
       "        0.48500014, 0.51757362, 0.52475264, 0.53720728, 0.517686  ,\n",
       "        0.47180149, 0.49142912, 0.55401629, 0.51082725, 0.54506293,\n",
       "        0.51044045, 0.49861546, 0.47522708, 0.47447866, 0.47065834,\n",
       "        0.47939149, 0.46711143, 0.49083473, 0.48728314, 0.55711418,\n",
       "        0.52171523, 0.47700401, 0.47653422, 0.50360032, 0.59183717,\n",
       "...\n",
       "        0.56704968, 0.5650914 , 0.58156793, 0.54638961, 0.55562099,\n",
       "        0.55189079, 0.56012364, 0.54423818, 0.55284759, 0.59952595,\n",
       "        0.54254376, 0.55798099, 0.60166523, 0.58077294, 0.540744  ,\n",
       "        0.55664109, 0.58402041, 0.55904393, 0.55698089, 0.57353106,\n",
       "        0.53309729, 0.51766864, 0.58433595, 0.58564866, 0.58200476,\n",
       "        0.58157215, 0.59075287, 0.54596573, 0.53314544, 0.5672939 ,\n",
       "        0.60771631, 0.62618544, 0.56659308, 0.57698707, 0.58136539,\n",
       "        0.55996704, 0.55165804, 0.59528091, 0.50834191, 0.5817826 ,\n",
       "        0.56705468, 0.5531169 , 0.54836297, 0.57676818, 0.5484544 ,\n",
       "        0.56658024, 0.59087879, 0.57020133, 0.56040784, 0.55286698,\n",
       "        0.558676  , 0.53690294, 0.58275436, 0.57233689, 0.55656776,\n",
       "        0.53627264, 0.54707616, 0.56048572, 0.58006493, 0.56507787,\n",
       "        0.55626621, 0.54025389, 0.51989942, 0.54914989, 0.55358496,\n",
       "        0.51164219, 0.48637629, 0.56522276, 0.52714132, 0.57302115,\n",
       "        0.54592519, 0.55874451, 0.55212123, 0.55293752, 0.60020006,\n",
       "        0.55340532, 0.5605338 , 0.58370653, 0.51541912, 0.55857723,\n",
       "        0.57033153, 0.55582482, 0.54305157, 0.5375807 , 0.62061541,\n",
       "        0.56413057, 0.56578682, 0.50846233, 0.49174671, 0.5631416 ,\n",
       "        0.58282156, 0.57176715, 0.56122816, 0.53900342, 0.53962477,\n",
       "        0.45400621, 0.4591333 , 0.46425719, 0.5129726 , 0.56170307]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>t_subj.4</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.002379 0.0004869 ... 0.3474</div><input id='attrs-a1d770da-f4a0-444f-9cee-726e75ddeb7e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a1d770da-f4a0-444f-9cee-726e75ddeb7e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-55698377-e1ee-43e4-9103-f52220fdb550' class='xr-var-data-in' type='checkbox'><label for='data-55698377-e1ee-43e4-9103-f52220fdb550' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.00237938, 0.00048686, 0.00278457, 0.00038476, 0.00039891,\n",
       "        0.00133171, 0.00187229, 0.0010972 , 0.03386929, 0.07432   ,\n",
       "        0.07674426, 0.13048638, 0.15482767, 0.1602155 , 0.16949566,\n",
       "        0.17139188, 0.20028078, 0.19427175, 0.17937994, 0.18534835,\n",
       "        0.18970553, 0.17582012, 0.22949379, 0.23441743, 0.23993545,\n",
       "        0.25071375, 0.2578991 , 0.26881304, 0.25343919, 0.23923365,\n",
       "        0.23131789, 0.2763959 , 0.26253286, 0.26454867, 0.27425498,\n",
       "        0.27076412, 0.25531936, 0.265438  , 0.29922743, 0.30643055,\n",
       "        0.30931025, 0.32488469, 0.31736971, 0.30015382, 0.32702386,\n",
       "        0.34188982, 0.35250675, 0.34973407, 0.34878895, 0.34624293,\n",
       "        0.34948148, 0.34143907, 0.33985279, 0.34937844, 0.350577  ,\n",
       "        0.34837153, 0.37048179, 0.3729087 , 0.37001952, 0.3483976 ,\n",
       "        0.34574989, 0.35531479, 0.35543865, 0.34257545, 0.33255685,\n",
       "        0.34136093, 0.34492521, 0.34951931, 0.34892686, 0.35361009,\n",
       "        0.35315128, 0.35158015, 0.35678798, 0.35601636, 0.34834481,\n",
       "        0.3483651 , 0.34531106, 0.35137888, 0.33259778, 0.33773036,\n",
       "        0.32888369, 0.33766107, 0.34018789, 0.3565954 , 0.33974552,\n",
       "        0.3378282 , 0.36007085, 0.35041497, 0.34982993, 0.35361621,\n",
       "        0.35978924, 0.35146525, 0.34696241, 0.34641559, 0.35847451,\n",
       "        0.35579757, 0.35465593, 0.34492131, 0.33664672, 0.33303458,\n",
       "...\n",
       "        0.35595974, 0.36111915, 0.33184852, 0.36431426, 0.35837547,\n",
       "        0.35294421, 0.3538802 , 0.3462178 , 0.35764653, 0.34788812,\n",
       "        0.33817806, 0.34221458, 0.3443502 , 0.33830489, 0.34771239,\n",
       "        0.35338459, 0.33816469, 0.33358615, 0.35312891, 0.34609831,\n",
       "        0.34451375, 0.34627695, 0.3440785 , 0.35041241, 0.35593861,\n",
       "        0.35830895, 0.34062026, 0.35509672, 0.35311245, 0.34560203,\n",
       "        0.34044333, 0.34377374, 0.35342054, 0.34575025, 0.33270841,\n",
       "        0.33585641, 0.34799964, 0.34231572, 0.34555035, 0.34217237,\n",
       "        0.33945216, 0.33016633, 0.33513613, 0.34020816, 0.34559602,\n",
       "        0.35038158, 0.33832513, 0.34469153, 0.34764994, 0.35509492,\n",
       "        0.35290942, 0.34467511, 0.3535947 , 0.35903433, 0.35030811,\n",
       "        0.35703087, 0.34670276, 0.34343185, 0.33774452, 0.33915152,\n",
       "        0.34661589, 0.3507068 , 0.34701051, 0.33545152, 0.33337019,\n",
       "        0.34702664, 0.34400726, 0.35231396, 0.34625399, 0.35171972,\n",
       "        0.36073942, 0.36313198, 0.34946978, 0.34844616, 0.34539515,\n",
       "        0.34027652, 0.34388043, 0.33174227, 0.3390849 , 0.33334257,\n",
       "        0.34871095, 0.34516403, 0.34113604, 0.33282713, 0.35158487,\n",
       "        0.34299503, 0.34399359, 0.35958225, 0.34694944, 0.35482506,\n",
       "        0.3555117 , 0.3410591 , 0.36026115, 0.35561168, 0.354572  ,\n",
       "        0.35994069, 0.35942496, 0.36227796, 0.34247116, 0.34741309]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>z</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.4165 0.417 ... 0.4854 0.4785</div><input id='attrs-34073186-4601-49f7-9dbf-e143fe0a9e7a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-34073186-4601-49f7-9dbf-e143fe0a9e7a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b969e94f-3882-4d2f-b7f0-8a108c9f96c1' class='xr-var-data-in' type='checkbox'><label for='data-b969e94f-3882-4d2f-b7f0-8a108c9f96c1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.41645311, 0.41701153, 0.47336192, 0.43097237, 0.49059317,\n",
       "        0.49971168, 0.52125651, 0.51023171, 0.60862888, 0.5210829 ,\n",
       "        0.55676101, 0.53891492, 0.55135947, 0.63900961, 0.6487794 ,\n",
       "        0.57411049, 0.60189165, 0.58421794, 0.62523568, 0.56844391,\n",
       "        0.58977932, 0.57826215, 0.56950989, 0.58976026, 0.63337391,\n",
       "        0.60034769, 0.58309875, 0.62061517, 0.59509489, 0.58752736,\n",
       "        0.61638763, 0.57276805, 0.49382888, 0.61821547, 0.56713873,\n",
       "        0.5641929 , 0.57644628, 0.5913328 , 0.60568937, 0.57925435,\n",
       "        0.61002187, 0.58558553, 0.5669653 , 0.59065095, 0.58614201,\n",
       "        0.6121265 , 0.55999562, 0.57770643, 0.57232344, 0.56075968,\n",
       "        0.56150634, 0.59535155, 0.57524082, 0.64775838, 0.5792728 ,\n",
       "        0.5267628 , 0.52556358, 0.55933308, 0.548971  , 0.53021266,\n",
       "        0.52464206, 0.50871004, 0.50294305, 0.49459207, 0.47970811,\n",
       "        0.47328535, 0.47649261, 0.47359821, 0.47381018, 0.47554059,\n",
       "        0.48001922, 0.47482663, 0.4771461 , 0.47596768, 0.47564025,\n",
       "        0.47787481, 0.4751436 , 0.46633868, 0.46758409, 0.47205753,\n",
       "        0.47351282, 0.47131159, 0.47041637, 0.47252355, 0.4743319 ,\n",
       "        0.47342917, 0.47241863, 0.4730953 , 0.47271718, 0.47200137,\n",
       "        0.4738391 , 0.47317307, 0.47220928, 0.47130275, 0.47190285,\n",
       "        0.47098214, 0.47511513, 0.47747116, 0.47821376, 0.47309019,\n",
       "...\n",
       "        0.49114406, 0.49746605, 0.50461062, 0.50647057, 0.50968385,\n",
       "        0.51129431, 0.50972269, 0.50898462, 0.50599226, 0.50747541,\n",
       "        0.50747617, 0.50259828, 0.50105443, 0.50055279, 0.50257295,\n",
       "        0.5033143 , 0.50177451, 0.50386963, 0.49677464, 0.49620336,\n",
       "        0.50251147, 0.49416745, 0.50451335, 0.49728956, 0.5056879 ,\n",
       "        0.50280954, 0.49955137, 0.49625031, 0.50429968, 0.50128696,\n",
       "        0.50547363, 0.49656998, 0.49820712, 0.49432899, 0.50273121,\n",
       "        0.5037518 , 0.50498834, 0.49967037, 0.50310789, 0.49945751,\n",
       "        0.50249245, 0.4926001 , 0.49567668, 0.49698814, 0.49885471,\n",
       "        0.49901518, 0.50369851, 0.5008687 , 0.50160492, 0.50068631,\n",
       "        0.4981851 , 0.49217243, 0.49336699, 0.4951248 , 0.49504224,\n",
       "        0.49725008, 0.49586489, 0.49393613, 0.49284231, 0.49222235,\n",
       "        0.49159173, 0.49185032, 0.49246089, 0.4923085 , 0.49218589,\n",
       "        0.49287656, 0.49245587, 0.49287729, 0.49377778, 0.49415421,\n",
       "        0.49580107, 0.49696606, 0.49530636, 0.49349789, 0.49188354,\n",
       "        0.49445802, 0.49044801, 0.49202264, 0.49912389, 0.49456863,\n",
       "        0.49572314, 0.49485384, 0.48188542, 0.48139308, 0.47018576,\n",
       "        0.482133  , 0.48834504, 0.4806788 , 0.48979515, 0.50186054,\n",
       "        0.49320243, 0.48986954, 0.50544344, 0.49089986, 0.49401929,\n",
       "        0.49526963, 0.51292477, 0.49190774, 0.48536373, 0.47851888]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>z_std</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.4695 0.2211 ... 0.08704 0.09099</div><input id='attrs-72c0a960-a8bd-4059-afdb-fbe24fc2cb7e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-72c0a960-a8bd-4059-afdb-fbe24fc2cb7e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0c2431b8-be22-483f-a972-cc2fd92ba9fe' class='xr-var-data-in' type='checkbox'><label for='data-0c2431b8-be22-483f-a972-cc2fd92ba9fe' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.46952023, 0.2210958 , 0.54898659, 0.33498785, 0.40374521,\n",
       "        0.33892408, 0.28884568, 0.33797652, 0.26710493, 0.26961333,\n",
       "        0.31531101, 0.31458984, 0.33549752, 0.28340799, 0.29270582,\n",
       "        0.2618383 , 0.3044487 , 0.32207005, 0.30419838, 0.27786283,\n",
       "        0.3271814 , 0.33309534, 0.30245039, 0.27080262, 0.28839778,\n",
       "        0.28050158, 0.28382261, 0.26870477, 0.24755667, 0.26166195,\n",
       "        0.26672959, 0.21626925, 0.21751642, 0.33741175, 0.32604816,\n",
       "        0.22066649, 0.22940417, 0.22312585, 0.2652131 , 0.25209418,\n",
       "        0.29434649, 0.24517385, 0.25860892, 0.24938546, 0.28557722,\n",
       "        0.29174806, 0.22853262, 0.2375714 , 0.24285502, 0.25584866,\n",
       "        0.22309088, 0.22976032, 0.22662949, 0.22818674, 0.24065384,\n",
       "        0.25618226, 0.26327521, 0.21793046, 0.19561279, 0.16337   ,\n",
       "        0.14064372, 0.11455142, 0.09441629, 0.0953083 , 0.03332886,\n",
       "        0.06929787, 0.03714482, 0.02821294, 0.01343864, 0.01277801,\n",
       "        0.03027595, 0.032098  , 0.02747296, 0.02968301, 0.03339842,\n",
       "        0.01328505, 0.02682907, 0.04198702, 0.0268583 , 0.02282617,\n",
       "        0.01551753, 0.01021955, 0.01275897, 0.01019949, 0.00914646,\n",
       "        0.00754057, 0.0028705 , 0.00208432, 0.0054632 , 0.00672756,\n",
       "        0.01366897, 0.00582115, 0.0063919 , 0.00768212, 0.00615809,\n",
       "        0.00996631, 0.01759989, 0.02260469, 0.02537164, 0.02248753,\n",
       "...\n",
       "        0.06611602, 0.04506774, 0.02582565, 0.01415485, 0.02098062,\n",
       "        0.01773313, 0.01373616, 0.01222057, 0.01338183, 0.01030864,\n",
       "        0.0213684 , 0.01076417, 0.00741891, 0.02587802, 0.01924492,\n",
       "        0.03024732, 0.02604706, 0.02991057, 0.01864208, 0.03326137,\n",
       "        0.06449432, 0.0515137 , 0.05041035, 0.05431047, 0.06464321,\n",
       "        0.08774212, 0.03529453, 0.06294679, 0.0317652 , 0.03003721,\n",
       "        0.02580102, 0.02411318, 0.02712906, 0.02201925, 0.01628289,\n",
       "        0.01153389, 0.02023517, 0.0175146 , 0.01879306, 0.04874995,\n",
       "        0.03334379, 0.02955993, 0.03473651, 0.04199477, 0.04195681,\n",
       "        0.06119607, 0.03686921, 0.02725903, 0.00884576, 0.01052433,\n",
       "        0.01756096, 0.02383341, 0.01476478, 0.01395258, 0.00664422,\n",
       "        0.00766337, 0.01327993, 0.01636056, 0.00760137, 0.00742751,\n",
       "        0.00526995, 0.00553306, 0.00391844, 0.00429497, 0.00424991,\n",
       "        0.0047538 , 0.0051018 , 0.00574715, 0.00607722, 0.00602698,\n",
       "        0.01592139, 0.01239546, 0.02196039, 0.01700593, 0.01059893,\n",
       "        0.02055485, 0.02137941, 0.03021324, 0.03917016, 0.03411699,\n",
       "        0.05572556, 0.05473854, 0.05823993, 0.08145   , 0.03351203,\n",
       "        0.0289741 , 0.05810773, 0.07296378, 0.12978937, 0.0810465 ,\n",
       "        0.07965633, 0.05884553, 0.08318891, 0.0412118 , 0.03105446,\n",
       "        0.05430677, 0.09947437, 0.10164992, 0.08704469, 0.09099018]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>z_subj.0</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.4755 0.09693 ... 0.4789 0.4816</div><input id='attrs-43d6efeb-1bc0-45f0-8995-63d691db519b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-43d6efeb-1bc0-45f0-8995-63d691db519b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-93795790-180e-44b7-b46e-59e76561c8d7' class='xr-var-data-in' type='checkbox'><label for='data-93795790-180e-44b7-b46e-59e76561c8d7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.47545639, 0.09692877, 0.11324571, 0.12545913, 0.11663718,\n",
       "        0.23790379, 0.2753244 , 0.35459694, 0.39741981, 0.39422703,\n",
       "        0.40127636, 0.39146313, 0.41613327, 0.43249559, 0.49743458,\n",
       "        0.49931658, 0.50792875, 0.50248217, 0.50939751, 0.51348736,\n",
       "        0.49428423, 0.48729043, 0.47719467, 0.50009345, 0.48500069,\n",
       "        0.49146442, 0.51783306, 0.51203413, 0.50912572, 0.48088471,\n",
       "        0.46248031, 0.48414638, 0.48079648, 0.47852196, 0.49112265,\n",
       "        0.51135066, 0.49489078, 0.50345645, 0.49343218, 0.49896849,\n",
       "        0.50121631, 0.50487831, 0.53028112, 0.50323525, 0.4974524 ,\n",
       "        0.50246688, 0.472955  , 0.50794211, 0.50410694, 0.52641598,\n",
       "        0.49409824, 0.49009199, 0.50598226, 0.51862936, 0.51316142,\n",
       "        0.48498828, 0.49713971, 0.47339628, 0.51138461, 0.48133034,\n",
       "        0.49563306, 0.49579575, 0.5118338 , 0.49315047, 0.49038815,\n",
       "        0.4949283 , 0.4741926 , 0.47750141, 0.47112426, 0.47783871,\n",
       "        0.48092706, 0.47330678, 0.474336  , 0.47861353, 0.4755053 ,\n",
       "        0.4759452 , 0.48614785, 0.45759307, 0.47113677, 0.46428758,\n",
       "        0.46901053, 0.4705316 , 0.47409358, 0.47293122, 0.47287617,\n",
       "        0.4738131 , 0.47303392, 0.47327545, 0.4731914 , 0.47390141,\n",
       "        0.47368645, 0.47122707, 0.47438851, 0.47196334, 0.47081983,\n",
       "        0.46915996, 0.46989346, 0.48141401, 0.48025242, 0.47778161,\n",
       "...\n",
       "        0.47926003, 0.51082809, 0.5107489 , 0.50122373, 0.50733313,\n",
       "        0.50703458, 0.51204564, 0.50527928, 0.50388151, 0.50628652,\n",
       "        0.50784445, 0.50509727, 0.50537163, 0.50266977, 0.50579623,\n",
       "        0.49531995, 0.50165386, 0.49327206, 0.48760174, 0.49933488,\n",
       "        0.50070334, 0.49809618, 0.49651999, 0.49848693, 0.48511445,\n",
       "        0.49369323, 0.49547484, 0.49675983, 0.51094029, 0.49870074,\n",
       "        0.50030188, 0.49533254, 0.49295442, 0.50100974, 0.50167269,\n",
       "        0.50565676, 0.50336351, 0.49789477, 0.49348293, 0.50156126,\n",
       "        0.50525702, 0.50212001, 0.49827081, 0.49207954, 0.48875868,\n",
       "        0.49583917, 0.50288017, 0.50623468, 0.50262781, 0.49756058,\n",
       "        0.49499211, 0.49806688, 0.49701259, 0.4971272 , 0.49397978,\n",
       "        0.49343916, 0.49141827, 0.49316178, 0.49264276, 0.49143949,\n",
       "        0.49211845, 0.49311002, 0.49285679, 0.4921674 , 0.49208302,\n",
       "        0.49241212, 0.49234635, 0.49179052, 0.49621306, 0.49285194,\n",
       "        0.50072857, 0.48753265, 0.49523792, 0.49241953, 0.49834955,\n",
       "        0.49241453, 0.48901831, 0.49107857, 0.50865849, 0.47578346,\n",
       "        0.48409067, 0.48685133, 0.48034355, 0.4850676 , 0.46878499,\n",
       "        0.50430056, 0.49479269, 0.49818617, 0.46918554, 0.47493316,\n",
       "        0.48700292, 0.48581094, 0.49694792, 0.50642035, 0.48037499,\n",
       "        0.5097464 , 0.49699784, 0.49635179, 0.47888962, 0.4816006 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>z_subj.1</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.3986 0.4456 ... 0.4933 0.5072</div><input id='attrs-1bdff179-6c7f-432b-887b-f99616a1c593' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1bdff179-6c7f-432b-887b-f99616a1c593' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b8c41dfb-c479-42b4-bb60-054b12faf798' class='xr-var-data-in' type='checkbox'><label for='data-b8c41dfb-c479-42b4-bb60-054b12faf798' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.39860672, 0.4455711 , 0.41357631, 0.41120305, 0.48606033,\n",
       "        0.56067408, 0.56291182, 0.52561862, 0.48747827, 0.48616363,\n",
       "        0.51797989, 0.54016538, 0.53618425, 0.52470114, 0.51604832,\n",
       "        0.51318483, 0.51314186, 0.48388969, 0.50874817, 0.51864957,\n",
       "        0.47557187, 0.48817831, 0.51111311, 0.47148962, 0.51526165,\n",
       "        0.56727911, 0.54171473, 0.52547255, 0.5201278 , 0.52081745,\n",
       "        0.49900073, 0.53511753, 0.44970388, 0.47974215, 0.54274163,\n",
       "        0.52748446, 0.51572066, 0.53854439, 0.53945123, 0.52485558,\n",
       "        0.51639811, 0.53284478, 0.51051416, 0.53745231, 0.53584541,\n",
       "        0.52306009, 0.52414028, 0.49456112, 0.50980809, 0.52231769,\n",
       "        0.51946285, 0.52830723, 0.5127179 , 0.54202493, 0.53949055,\n",
       "        0.53715935, 0.51854297, 0.49603908, 0.49682961, 0.49691305,\n",
       "        0.49444763, 0.51316238, 0.52035268, 0.4832845 , 0.48017424,\n",
       "        0.47875978, 0.46959099, 0.48002353, 0.47767814, 0.47935976,\n",
       "        0.4801632 , 0.48849276, 0.47379962, 0.47078975, 0.47314379,\n",
       "        0.4820039 , 0.48085171, 0.4791067 , 0.48071143, 0.46562953,\n",
       "        0.47710852, 0.47107777, 0.46934208, 0.47199385, 0.47204525,\n",
       "        0.47223561, 0.47314696, 0.473196  , 0.47288715, 0.47265602,\n",
       "        0.47516253, 0.47652563, 0.47258472, 0.47125347, 0.46993297,\n",
       "        0.4743623 , 0.47435963, 0.47454665, 0.48574479, 0.47716312,\n",
       "...\n",
       "        0.49632637, 0.4987327 , 0.50987694, 0.50949523, 0.505139  ,\n",
       "        0.51273112, 0.51388818, 0.50220345, 0.50763123, 0.50224956,\n",
       "        0.50320679, 0.49991549, 0.50064879, 0.50229086, 0.49904946,\n",
       "        0.50478003, 0.5086169 , 0.49782238, 0.49866495, 0.50101399,\n",
       "        0.49924684, 0.49139993, 0.49506526, 0.49171405, 0.49238272,\n",
       "        0.50673311, 0.48380907, 0.50430189, 0.50472032, 0.50299676,\n",
       "        0.49866958, 0.49730444, 0.49695521, 0.49534566, 0.49996732,\n",
       "        0.50113213, 0.50451938, 0.50438328, 0.49552385, 0.49741008,\n",
       "        0.49787849, 0.49443598, 0.48735991, 0.51393265, 0.50480874,\n",
       "        0.49235201, 0.50073478, 0.50370865, 0.49739325, 0.50039763,\n",
       "        0.50146455, 0.48542572, 0.49322438, 0.49234321, 0.49735612,\n",
       "        0.49795832, 0.49511032, 0.48939163, 0.4954505 , 0.49046189,\n",
       "        0.49027092, 0.49213497, 0.49065694, 0.49413654, 0.49241539,\n",
       "        0.49327836, 0.49363872, 0.49457169, 0.49354637, 0.49383238,\n",
       "        0.50101883, 0.49810145, 0.49435523, 0.49432608, 0.491816  ,\n",
       "        0.50164137, 0.49926493, 0.49520493, 0.48357172, 0.50070236,\n",
       "        0.50932937, 0.51272199, 0.51680181, 0.48473946, 0.48135582,\n",
       "        0.48975089, 0.48851053, 0.50276857, 0.50454613, 0.51855813,\n",
       "        0.51836001, 0.51860089, 0.50035434, 0.50150228, 0.49464606,\n",
       "        0.49463478, 0.49656947, 0.48793362, 0.49327077, 0.50715247]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>z_subj.2</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.2562 0.3196 ... 0.4836 0.4841</div><input id='attrs-ac6d1d10-0824-4816-81ad-cd1c14599aa0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ac6d1d10-0824-4816-81ad-cd1c14599aa0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-abdb6758-3b02-45bf-bfce-fe68648bb103' class='xr-var-data-in' type='checkbox'><label for='data-abdb6758-3b02-45bf-bfce-fe68648bb103' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.25620347, 0.31963074, 0.37661602, 0.39061607, 0.38754895,\n",
       "        0.40880104, 0.40596256, 0.40574733, 0.53155648, 0.45958089,\n",
       "        0.44739175, 0.48215553, 0.47461823, 0.46932818, 0.4748237 ,\n",
       "        0.50180458, 0.48713591, 0.49606004, 0.51547327, 0.4975549 ,\n",
       "        0.50885438, 0.4962286 , 0.49412096, 0.4886106 , 0.48474406,\n",
       "        0.50090275, 0.49031118, 0.48732908, 0.46297935, 0.52195952,\n",
       "        0.50454139, 0.50582399, 0.50994184, 0.47658225, 0.494077  ,\n",
       "        0.50191466, 0.51271043, 0.48438303, 0.48942121, 0.50545286,\n",
       "        0.4788511 , 0.52791675, 0.45630755, 0.4676464 , 0.47971166,\n",
       "        0.5119861 , 0.51269112, 0.49261598, 0.51504622, 0.50747035,\n",
       "        0.51514417, 0.51226382, 0.50750951, 0.50782344, 0.52141589,\n",
       "        0.47604213, 0.54100376, 0.45605681, 0.44550214, 0.46799485,\n",
       "        0.50664515, 0.51118694, 0.51559464, 0.51403968, 0.47166559,\n",
       "        0.47134008, 0.48425547, 0.48210553, 0.47492588, 0.46822415,\n",
       "        0.46789015, 0.47995983, 0.48510237, 0.48268208, 0.47735143,\n",
       "        0.46418186, 0.4666102 , 0.4728517 , 0.46191299, 0.47240773,\n",
       "        0.47330458, 0.47259689, 0.47027161, 0.47002883, 0.47593602,\n",
       "        0.4732092 , 0.47373103, 0.47338506, 0.47214045, 0.46989786,\n",
       "        0.47563821, 0.47200183, 0.47245184, 0.47112273, 0.47301314,\n",
       "        0.47451687, 0.47235298, 0.47853407, 0.47751781, 0.47989472,\n",
       "...\n",
       "        0.47779877, 0.49721077, 0.50540051, 0.50366768, 0.50490997,\n",
       "        0.51347019, 0.50644207, 0.50133851, 0.5106565 , 0.51011817,\n",
       "        0.50268633, 0.49990736, 0.49857949, 0.49777505, 0.50513694,\n",
       "        0.49760332, 0.49588321, 0.49170878, 0.4976852 , 0.49189058,\n",
       "        0.50287985, 0.50463135, 0.49750068, 0.49636959, 0.49594878,\n",
       "        0.49059639, 0.49913973, 0.49347565, 0.49192056, 0.50954086,\n",
       "        0.50986122, 0.49740703, 0.49738246, 0.49455103, 0.5039931 ,\n",
       "        0.5041737 , 0.50092128, 0.49885697, 0.50071603, 0.48797089,\n",
       "        0.48440634, 0.47866394, 0.4882294 , 0.49669482, 0.49540155,\n",
       "        0.48242594, 0.49380933, 0.5000726 , 0.50398218, 0.49494053,\n",
       "        0.49165758, 0.49188316, 0.49379598, 0.49208715, 0.49882426,\n",
       "        0.49834522, 0.49835028, 0.49741651, 0.48947193, 0.49047921,\n",
       "        0.4914249 , 0.49166281, 0.49289141, 0.49210029, 0.49192018,\n",
       "        0.49324444, 0.49554312, 0.49431889, 0.49480979, 0.49593268,\n",
       "        0.49157774, 0.49667243, 0.4965128 , 0.48826327, 0.49384671,\n",
       "        0.49473289, 0.49122112, 0.48851121, 0.50244535, 0.50549719,\n",
       "        0.49704644, 0.47223763, 0.47671547, 0.46389761, 0.47237365,\n",
       "        0.48808962, 0.4758574 , 0.47114404, 0.50113497, 0.49033703,\n",
       "        0.50010554, 0.49030777, 0.51492209, 0.51221807, 0.490529  ,\n",
       "        0.50348115, 0.50574819, 0.48258153, 0.48361475, 0.48413754]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>z_subj.3</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.4625 0.5304 0.4733 ... 0.5 0.5278</div><input id='attrs-a04e812f-a48d-4edf-b66a-daeaef9fb753' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a04e812f-a48d-4edf-b66a-daeaef9fb753' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-99e9f9c7-4a78-4cdc-bf38-104e0de6bce7' class='xr-var-data-in' type='checkbox'><label for='data-99e9f9c7-4a78-4cdc-bf38-104e0de6bce7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.46246434, 0.53042878, 0.47333958, 0.49721997, 0.48637863,\n",
       "        0.54584583, 0.54861693, 0.56298474, 0.52987554, 0.5404978 ,\n",
       "        0.56540676, 0.55575327, 0.53659584, 0.60009212, 0.5762317 ,\n",
       "        0.57325542, 0.53829395, 0.53632738, 0.52558175, 0.55190914,\n",
       "        0.56744248, 0.56407764, 0.5873971 , 0.59037524, 0.57734738,\n",
       "        0.55906109, 0.54366941, 0.55854786, 0.54286283, 0.53510883,\n",
       "        0.53854095, 0.51534607, 0.52178691, 0.52213228, 0.53806985,\n",
       "        0.54090186, 0.55018501, 0.51812868, 0.51418776, 0.52876006,\n",
       "        0.57725284, 0.58207374, 0.52874273, 0.5362683 , 0.53646846,\n",
       "        0.54589537, 0.50121413, 0.57773781, 0.5605553 , 0.55702084,\n",
       "        0.51544407, 0.57905425, 0.58566315, 0.52345101, 0.51765976,\n",
       "        0.52913832, 0.52220747, 0.52629   , 0.50219239, 0.55930011,\n",
       "        0.55438266, 0.55171651, 0.53987537, 0.48529186, 0.48277849,\n",
       "        0.48617062, 0.47603603, 0.48153898, 0.47062942, 0.48108237,\n",
       "        0.48823737, 0.47013429, 0.47476312, 0.49007215, 0.47784905,\n",
       "        0.47668616, 0.47409449, 0.46534917, 0.47389559, 0.4697644 ,\n",
       "        0.47298863, 0.47275481, 0.47432883, 0.4739831 , 0.47415738,\n",
       "        0.47271777, 0.47198826, 0.47429464, 0.47545653, 0.47441659,\n",
       "        0.47331406, 0.47456146, 0.47041899, 0.47316284, 0.47285421,\n",
       "        0.46922558, 0.46585536, 0.4763783 , 0.47866432, 0.47569749,\n",
       "...\n",
       "        0.50319174, 0.50850072, 0.50902185, 0.51254987, 0.51275271,\n",
       "        0.50982413, 0.50979177, 0.51062306, 0.50400569, 0.51635856,\n",
       "        0.50369204, 0.5019698 , 0.50104124, 0.49903924, 0.516441  ,\n",
       "        0.51399193, 0.51589976, 0.50215715, 0.49505144, 0.51136831,\n",
       "        0.4896725 , 0.52189642, 0.52002314, 0.52400787, 0.52952854,\n",
       "        0.52937449, 0.48858421, 0.50187188, 0.50267778, 0.51399502,\n",
       "        0.50224995, 0.49985874, 0.50360552, 0.5026709 , 0.5084964 ,\n",
       "        0.50415478, 0.50287311, 0.49729763, 0.51383357, 0.51147463,\n",
       "        0.49535944, 0.49822237, 0.51007085, 0.50954059, 0.51920206,\n",
       "        0.49353363, 0.50974628, 0.49836308, 0.5021601 , 0.50230801,\n",
       "        0.49305645, 0.49142005, 0.49595966, 0.49669792, 0.49498894,\n",
       "        0.5009663 , 0.4911131 , 0.49058377, 0.49171984, 0.49329474,\n",
       "        0.49229608, 0.49147796, 0.49286393, 0.49191823, 0.49257351,\n",
       "        0.49427563, 0.49155883, 0.4943678 , 0.49400363, 0.49325795,\n",
       "        0.49965355, 0.4992082 , 0.49595954, 0.4903495 , 0.49475626,\n",
       "        0.49001243, 0.48970172, 0.50806729, 0.49283047, 0.51001809,\n",
       "        0.48911302, 0.47694101, 0.47301319, 0.48581107, 0.48182138,\n",
       "        0.49416877, 0.47563598, 0.47568099, 0.52685757, 0.53016106,\n",
       "        0.51882326, 0.49934902, 0.51691437, 0.49392922, 0.49586414,\n",
       "        0.48561199, 0.49453271, 0.48745567, 0.49997222, 0.52777096]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>z_subj.4</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.823 0.8355 ... 0.4725 0.4383</div><input id='attrs-cbf5afc0-39ef-4529-953b-02ce742d9e0a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-cbf5afc0-39ef-4529-953b-02ce742d9e0a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4e60636e-6b41-4f78-ad98-6f461c2884c3' class='xr-var-data-in' type='checkbox'><label for='data-4e60636e-6b41-4f78-ad98-6f461c2884c3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.82300761, 0.83554234, 0.86067217, 0.86500864, 0.84001347,\n",
       "        0.84400832, 0.84306057, 0.84621551, 0.85031906, 0.86088527,\n",
       "        0.86343081, 0.87206681, 0.87711223, 0.87337543, 0.87273827,\n",
       "        0.87143117, 0.86817702, 0.86584678, 0.86668856, 0.86573082,\n",
       "        0.87063862, 0.86823667, 0.87537022, 0.8656598 , 0.86860799,\n",
       "        0.87079694, 0.86045956, 0.85525432, 0.8448563 , 0.8442191 ,\n",
       "        0.84377899, 0.851369  , 0.84331136, 0.84385247, 0.83717715,\n",
       "        0.83315381, 0.82518709, 0.82573147, 0.83562276, 0.84125728,\n",
       "        0.84254214, 0.84379502, 0.82812988, 0.82774676, 0.84185078,\n",
       "        0.84137338, 0.82765151, 0.82379013, 0.81635665, 0.79736185,\n",
       "        0.78880905, 0.77330156, 0.78429442, 0.78055685, 0.77523344,\n",
       "        0.7669286 , 0.77025485, 0.7488779 , 0.64651151, 0.57327406,\n",
       "        0.48981533, 0.49734891, 0.47971073, 0.474614  , 0.46242598,\n",
       "        0.46417174, 0.47071197, 0.47161852, 0.47429584, 0.47508474,\n",
       "        0.46637743, 0.47071006, 0.47762627, 0.47221334, 0.47962618,\n",
       "        0.4786314 , 0.46962707, 0.46978296, 0.47088434, 0.47649373,\n",
       "        0.46876133, 0.47032813, 0.46877307, 0.47243027, 0.47460033,\n",
       "        0.47112681, 0.47275065, 0.47346261, 0.47043404, 0.47189086,\n",
       "        0.47611722, 0.47379595, 0.47145066, 0.46946001, 0.46944267,\n",
       "        0.47343574, 0.47151402, 0.47015601, 0.46680046, 0.46509648,\n",
       "...\n",
       "        0.48892268, 0.49157371, 0.5025039 , 0.50929836, 0.5024089 ,\n",
       "        0.50953614, 0.51266897, 0.50585785, 0.50781787, 0.50718797,\n",
       "        0.49802446, 0.49761831, 0.49592865, 0.49629238, 0.50546156,\n",
       "        0.48897583, 0.50797457, 0.50107234, 0.49752199, 0.49680904,\n",
       "        0.49770951, 0.47774958, 0.51559492, 0.47177334, 0.51699743,\n",
       "        0.50459108, 0.51095188, 0.50192905, 0.49250699, 0.50396719,\n",
       "        0.49924889, 0.48959915, 0.49763633, 0.50053983, 0.49894191,\n",
       "        0.50725459, 0.50452021, 0.49739654, 0.5022385 , 0.50439451,\n",
       "        0.49967411, 0.49725915, 0.49383752, 0.49701802, 0.48596847,\n",
       "        0.48784835, 0.51445825, 0.49880136, 0.49832806, 0.50016055,\n",
       "        0.49442926, 0.48880429, 0.49059441, 0.49703649, 0.49686519,\n",
       "        0.49310523, 0.49546266, 0.49528565, 0.49248431, 0.4936319 ,\n",
       "        0.49062659, 0.49053499, 0.49081454, 0.49191455, 0.49161147,\n",
       "        0.49287812, 0.49196284, 0.49346644, 0.49187399, 0.49649175,\n",
       "        0.49357994, 0.49797123, 0.49545949, 0.49375867, 0.4890634 ,\n",
       "        0.49599736, 0.48882703, 0.49127602, 0.50095671, 0.49754143,\n",
       "        0.48908224, 0.47413514, 0.47182828, 0.48173535, 0.47685571,\n",
       "        0.47648136, 0.48045135, 0.46251916, 0.46022019, 0.45145034,\n",
       "        0.46284364, 0.4763597 , 0.4993033 , 0.48671642, 0.49621857,\n",
       "        0.47901881, 0.47345064, 0.48892676, 0.47246905, 0.43826653]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-79926f42-582f-4070-bf14-29726d28ff80' class='xr-section-summary-in' type='checkbox'  ><label for='section-79926f42-582f-4070-bf14-29726d28ff80' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>chain</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-3889e8d9-407c-4612-9583-4e8868127e46' class='xr-index-data-in' type='checkbox'/><label for='index-3889e8d9-407c-4612-9583-4e8868127e46' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0, 1], dtype=&#x27;int64&#x27;, name=&#x27;chain&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>draw</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-bc531638-6622-4bae-8320-17996eba68de' class='xr-index-data-in' type='checkbox'/><label for='index-bc531638-6622-4bae-8320-17996eba68de' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  0,   1,   2,   3,   4,   5,   6,   7,   8,   9,\n",
       "       ...\n",
       "       490, 491, 492, 493, 494, 495, 496, 497, 498, 499],\n",
       "      dtype=&#x27;int64&#x27;, name=&#x27;draw&#x27;, length=500))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-08288844-a07a-490b-8431-bcfe0ff21d20' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-08288844-a07a-490b-8431-bcfe0ff21d20' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div><br></div>\n",
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       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:   (obs_id: 1427)\n",
       "Coordinates:\n",
       "  * obs_id    (obs_id) int64 0 1 2 3 4 5 6 ... 1421 1422 1423 1424 1425 1426\n",
       "    subj_idx  (obs_id) int64 0 0 0 0 0 0 0 0 0 0 0 0 ... 4 4 4 4 4 4 4 4 4 4 4 4\n",
       "    trial     (obs_id) int64 0 1 2 3 4 5 6 7 ... 275 276 277 278 279 280 281 282\n",
       "Data variables:\n",
       "    index     (obs_id) int64 0 1 2 3 4 5 6 ... 1421 1422 1423 1424 1425 1426\n",
       "    stim      (obs_id) object &#x27;LL&#x27; &#x27;WL&#x27; &#x27;WW&#x27; &#x27;WL&#x27; &#x27;WW&#x27; ... &#x27;WW&#x27; &#x27;WL&#x27; &#x27;WL&#x27; &#x27;LL&#x27;\n",
       "    rt        (obs_id) float32 1.21 1.63 1.03 2.77 ... 0.43 0.803 -0.606 0.499\n",
       "    response  (obs_id) int64 1 1 1 1 0 1 1 0 1 0 1 0 ... 1 1 0 0 1 1 0 1 1 1 0 1\n",
       "    theta     (obs_id) object 0.656275122261 ... -0.264081867924\n",
       "    dbs       (obs_id) object 1 1 1 1 1 1 1 1 1 1 1 1 ... 0 0 0 0 0 0 0 0 0 0 0\n",
       "    conf      (obs_id) object &#x27;HC&#x27; &#x27;LC&#x27; &#x27;HC&#x27; &#x27;LC&#x27; &#x27;HC&#x27; ... &#x27;HC&#x27; &#x27;LC&#x27; &#x27;LC&#x27; &#x27;HC&#x27;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-ac3f89c5-6a05-4ad7-9972-9b615b00ecfd' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ac3f89c5-6a05-4ad7-9972-9b615b00ecfd' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>obs_id</span>: 1427</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-6a7db78b-f465-42a5-bc78-09fb951df53e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6a7db78b-f465-42a5-bc78-09fb951df53e' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>obs_id</span></div><div class='xr-var-dims'>(obs_id)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 ... 1423 1424 1425 1426</div><input id='attrs-000e96fc-a199-4527-a5e6-68c6a8a68f05' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-000e96fc-a199-4527-a5e6-68c6a8a68f05' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4531ba42-68bc-4818-8367-ee4438f9f1c2' class='xr-var-data-in' type='checkbox'><label for='data-4531ba42-68bc-4818-8367-ee4438f9f1c2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([   0,    1,    2, ..., 1424, 1425, 1426])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>subj_idx</span></div><div class='xr-var-dims'>(obs_id)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 0 0 0 0 0 0 0 ... 4 4 4 4 4 4 4 4</div><input id='attrs-809629e2-0bbd-4197-baa8-c9138f96bf5c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-809629e2-0bbd-4197-baa8-c9138f96bf5c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-669a20d3-90dd-4a0d-9e44-c1142c8e4382' class='xr-var-data-in' type='checkbox'><label for='data-669a20d3-90dd-4a0d-9e44-c1142c8e4382' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 0, 0, ..., 4, 4, 4])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>trial</span></div><div class='xr-var-dims'>(obs_id)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 ... 278 279 280 281 282</div><input id='attrs-d0e0a4a8-9d80-443c-95e9-452697f5300d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d0e0a4a8-9d80-443c-95e9-452697f5300d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-75039d74-639e-4c87-9bf8-6df521bd882f' class='xr-var-data-in' type='checkbox'><label for='data-75039d74-639e-4c87-9bf8-6df521bd882f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([  0,   1,   2, ..., 280, 281, 282])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-30f5891b-9354-4cfd-a477-592df5dfd249' class='xr-section-summary-in' type='checkbox'  checked><label for='section-30f5891b-9354-4cfd-a477-592df5dfd249' class='xr-section-summary' >Data variables: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>index</span></div><div class='xr-var-dims'>(obs_id)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 ... 1423 1424 1425 1426</div><input id='attrs-6c8a671d-7d0c-4b84-a7d7-7521d56f5d16' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6c8a671d-7d0c-4b84-a7d7-7521d56f5d16' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-25e7eeac-3dbf-4eeb-93e7-058d6f11efb1' class='xr-var-data-in' type='checkbox'><label for='data-25e7eeac-3dbf-4eeb-93e7-058d6f11efb1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([   0,    1,    2, ..., 1424, 1425, 1426])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>stim</span></div><div class='xr-var-dims'>(obs_id)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;LL&#x27; &#x27;WL&#x27; &#x27;WW&#x27; ... &#x27;WL&#x27; &#x27;WL&#x27; &#x27;LL&#x27;</div><input id='attrs-0b5d7a7a-32d7-49c4-ab62-af9148b07540' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0b5d7a7a-32d7-49c4-ab62-af9148b07540' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f06592a8-6eef-416f-9b40-ba1c43588248' class='xr-var-data-in' type='checkbox'><label for='data-f06592a8-6eef-416f-9b40-ba1c43588248' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;LL&#x27;, &#x27;WL&#x27;, &#x27;WW&#x27;, ..., &#x27;WL&#x27;, &#x27;WL&#x27;, &#x27;LL&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rt</span></div><div class='xr-var-dims'>(obs_id)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.21 1.63 1.03 ... -0.606 0.499</div><input id='attrs-e7fd4439-d070-4cd1-903b-605dc5f762b3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e7fd4439-d070-4cd1-903b-605dc5f762b3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-afcb7058-25e6-47d3-83c7-90542e4fdc48' class='xr-var-data-in' type='checkbox'><label for='data-afcb7058-25e6-47d3-83c7-90542e4fdc48' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 1.21 ,  1.63 ,  1.03 , ...,  0.803, -0.606,  0.499], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>response</span></div><div class='xr-var-dims'>(obs_id)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 1 1 1 0 1 1 0 ... 1 1 0 1 1 1 0 1</div><input id='attrs-dc303215-20b9-40d8-ad8b-9348d5f37a42' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-dc303215-20b9-40d8-ad8b-9348d5f37a42' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a7750ed8-66d2-4c14-9157-116d20b31fef' class='xr-var-data-in' type='checkbox'><label for='data-a7750ed8-66d2-4c14-9157-116d20b31fef' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([1, 1, 1, ..., 1, 0, 1])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>theta</span></div><div class='xr-var-dims'>(obs_id)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>0.656275122261 ... -0.264081867924</div><input id='attrs-f89cbae6-87fb-4f15-b584-8ab59490648d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f89cbae6-87fb-4f15-b584-8ab59490648d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b47d139a-ed2e-4cd5-9388-f9fe5e78b024' class='xr-var-data-in' type='checkbox'><label for='data-b47d139a-ed2e-4cd5-9388-f9fe5e78b024' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.656275122261, -0.3278886716619999, -0.480284512399, ...,\n",
       "       1.2524802215, -0.6359418409079999, -0.264081867924], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dbs</span></div><div class='xr-var-dims'>(obs_id)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>1 1 1 1 1 1 1 1 ... 0 0 0 0 0 0 0 0</div><input id='attrs-7b0236ef-56ea-4ed2-aadb-0edfee680406' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7b0236ef-56ea-4ed2-aadb-0edfee680406' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-996ad21d-3624-484f-b9d2-c07361d86f9e' class='xr-var-data-in' type='checkbox'><label for='data-996ad21d-3624-484f-b9d2-c07361d86f9e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([1, 1, 1, ..., 0, 0, 0], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conf</span></div><div class='xr-var-dims'>(obs_id)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;HC&#x27; &#x27;LC&#x27; &#x27;HC&#x27; ... &#x27;LC&#x27; &#x27;LC&#x27; &#x27;HC&#x27;</div><input id='attrs-2768658e-6bda-41a0-a029-52e571e46f4a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2768658e-6bda-41a0-a029-52e571e46f4a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c6faf3f6-068b-4a4f-822c-1a81eaf351e6' class='xr-var-data-in' type='checkbox'><label for='data-c6faf3f6-068b-4a4f-822c-1a81eaf351e6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;HC&#x27;, &#x27;LC&#x27;, &#x27;HC&#x27;, ..., &#x27;LC&#x27;, &#x27;LC&#x27;, &#x27;HC&#x27;], dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-989c6d59-6ba9-4af2-b6c6-73411c6b772c' class='xr-section-summary-in' type='checkbox'  ><label for='section-989c6d59-6ba9-4af2-b6c6-73411c6b772c' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>obs_id</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-96a288a6-4535-49a2-82b9-87273489f8ce' class='xr-index-data-in' type='checkbox'/><label for='index-96a288a6-4535-49a2-82b9-87273489f8ce' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(RangeIndex(start=0, stop=1427, step=1, name=&#x27;obs_id&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7b00e2cf-9d50-4c80-a195-4022be376aab' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7b00e2cf-9d50-4c80-a195-4022be376aab' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div><br></div>\n",
       "                      </ul>\n",
       "                  </div>\n",
       "            </li>\n",
       "            \n",
       "              </ul>\n",
       "            </div>\n",
       "            <style> /* CSS stylesheet for displaying InferenceData objects in jupyterlab.\n",
       " *\n",
       " */\n",
       "\n",
       ":root {\n",
       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-sections.group-sections {\n",
       "  grid-template-columns: auto;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
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       "\n",
       ".xr-var-name,\n",
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       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
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       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
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       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
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       "\n",
       ".xr-attrs dt, dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       ".xr-wrap{width:700px!important;} </style>"
      ],
      "text/plain": [
       "Inference data with groups:\n",
       "\t> posterior\n",
       "\t> observed_data"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%time\n",
    "model0 = hddm.HDDM(data, include = ['v', 'a', 't', 'z'])\n",
    "# note: when chains more than one, sampling process will be run parallelly, and the tmp_*.db will be saved in the current directory\n",
    "model0_infdata = model0.sample(500, chains = 2, return_infdata = True)\n",
    "model0_infdata"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Then we used the arviz to diagnose the model. \n",
    "\n",
    "We can obtain the Rhat, ess, and other diagnostic for each parameter."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>mean</th>\n",
       "      <th>sd</th>\n",
       "      <th>hdi_3%</th>\n",
       "      <th>hdi_97%</th>\n",
       "      <th>mcse_mean</th>\n",
       "      <th>mcse_sd</th>\n",
       "      <th>ess_bulk</th>\n",
       "      <th>ess_tail</th>\n",
       "      <th>r_hat</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>a</th>\n",
       "      <td>2.006</td>\n",
       "      <td>0.482</td>\n",
       "      <td>1.379</td>\n",
       "      <td>2.758</td>\n",
       "      <td>0.064</td>\n",
       "      <td>0.046</td>\n",
       "      <td>138.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>1.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>a_std</th>\n",
       "      <td>0.747</td>\n",
       "      <td>1.344</td>\n",
       "      <td>0.190</td>\n",
       "      <td>1.861</td>\n",
       "      <td>0.189</td>\n",
       "      <td>0.135</td>\n",
       "      <td>35.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>1.04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>a_subj.0</th>\n",
       "      <td>2.392</td>\n",
       "      <td>1.012</td>\n",
       "      <td>2.040</td>\n",
       "      <td>2.340</td>\n",
       "      <td>0.210</td>\n",
       "      <td>0.151</td>\n",
       "      <td>176.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>1.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>a_subj.1</th>\n",
       "      <td>2.251</td>\n",
       "      <td>0.687</td>\n",
       "      <td>1.963</td>\n",
       "      <td>2.272</td>\n",
       "      <td>0.172</td>\n",
       "      <td>0.124</td>\n",
       "      <td>90.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>1.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>a_subj.2</th>\n",
       "      <td>1.556</td>\n",
       "      <td>0.072</td>\n",
       "      <td>1.457</td>\n",
       "      <td>1.635</td>\n",
       "      <td>0.004</td>\n",
       "      <td>0.003</td>\n",
       "      <td>507.0</td>\n",
       "      <td>458.0</td>\n",
       "      <td>1.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           mean     sd  hdi_3%  hdi_97%  mcse_mean  mcse_sd  ess_bulk   \n",
       "a         2.006  0.482   1.379    2.758      0.064    0.046     138.0  \\\n",
       "a_std     0.747  1.344   0.190    1.861      0.189    0.135      35.0   \n",
       "a_subj.0  2.392  1.012   2.040    2.340      0.210    0.151     176.0   \n",
       "a_subj.1  2.251  0.687   1.963    2.272      0.172    0.124      90.0   \n",
       "a_subj.2  1.556  0.072   1.457    1.635      0.004    0.003     507.0   \n",
       "\n",
       "          ess_tail  r_hat  \n",
       "a             40.0   1.03  \n",
       "a_std         30.0   1.04  \n",
       "a_subj.0      29.0   1.01  \n",
       "a_subj.1      16.0   1.03  \n",
       "a_subj.2     458.0   1.00  "
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "az.summary(model0_infdata).head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We could also plot the traceplot and posterior distribution for each parameter to check the convergence of the model.\n",
    "\n",
    "Note: different chains are plotted in different colors."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 600x600 with 8 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = az.plot_trace(model0_infdata, var_names = ['a', 'v', 't', 'z'], figsize = (6,6))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### HDDM with regressors"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next, we will try a more complex model, such as hddm with regressors. \n",
    "- In this example, we assume that the decision boundary varies with the condition `conf` and set the `LC` condition as a reference, so that the `v` coefficient represents the difference between LC and HC. \n",
    "- We show how to save a model to an arbitrary directory using the `save_name` argument. \n",
    "- To enable model comparison, we have added the `loglike = True` argument to calculate the pointwise log likelihood of the model, which can be further used for calculating WAIC and LOOIC. \n",
    "- Additionally, we have added the `ppc = True` argument, which allows us to generate posterior predictive checks for the model.\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No model attribute --> setting up standard HDDM\n",
      "Set model to ddm\n",
      "hddm sampling elpased time:  23.542 s\n",
      "Start to calculate pointwise log likelihood...\n",
      "[---               8%                  ] 42 of 500 complete in 0.5 sec\n",
      "[------           17%                  ] 86 of 500 complete in 1.0 sec\n",
      "[----------       27%                  ] 136 of 500 complete in 1.5 sec\n",
      "[--------------   37%                  ] 186 of 500 complete in 2.0 sec\n",
      "[-----------------48%                  ] 241 of 500 complete in 2.5 sec\n",
      "[-----------------59%--                ] 298 of 500 complete in 3.0 sec\n",
      "[-----------------71%-------           ] 357 of 500 complete in 3.5 sec\n",
      "[-----------------83%-----------       ] 416 of 500 complete in 4.0 sec\n",
      "[-----------------94%---------------   ] 473 of 500 complete in 4.5 sec\n",
      "[-----------------100%-----------------] 500 of 500 complete in 4.8 sec\n",
      "hddm sampling elpased time:  4.803 s\n",
      "[                  0%                  ] 4 of 500 complete in 0.5 sec\n",
      "[-                 2%                  ] 14 of 500 complete in 1.0 sec\n",
      "[-                 5%                  ] 25 of 500 complete in 1.6 sec\n",
      "[--                7%                  ] 37 of 500 complete in 2.1 sec\n",
      "[---              10%                  ] 50 of 500 complete in 2.6 sec\n",
      "[----             12%                  ] 62 of 500 complete in 3.1 sec\n",
      "[-----            14%                  ] 73 of 500 complete in 3.7 sec\n",
      "[------           16%                  ] 84 of 500 complete in 4.2 sec\n",
      "[-------          19%                  ] 97 of 500 complete in 4.7 sec\n",
      "[--------         21%                  ] 109 of 500 complete in 5.2 sec\n",
      "[---------        24%                  ] 120 of 500 complete in 5.7 sec\n",
      "[---------        26%                  ] 131 of 500 complete in 6.2 sec\n",
      "[----------       28%                  ] 144 of 500 complete in 6.8 sec\n",
      "[-----------      31%                  ] 157 of 500 complete in 7.3 sec\n",
      "[------------     33%                  ] 169 of 500 complete in 7.8 sec\n",
      "[-------------    36%                  ] 183 of 500 complete in 8.4 sec\n",
      "[--------------   39%                  ] 195 of 500 complete in 8.9 sec\n",
      "[---------------  41%                  ] 207 of 500 complete in 9.4 sec\n",
      "[---------------- 44%                  ] 220 of 500 complete in 10.0 sec\n",
      "[-----------------46%                  ] 231 of 500 complete in 10.5 sec\n",
      "[-----------------48%                  ] 242 of 500 complete in 11.0 sec\n",
      "[-----------------50%                  ] 254 of 500 complete in 11.5 sec\n",
      "[-----------------53%                  ] 266 of 500 complete in 12.0 sec\n",
      "[-----------------55%-                 ] 277 of 500 complete in 12.5 sec\n",
      "[-----------------57%-                 ] 289 of 500 complete in 13.1 sec\n",
      "[-----------------60%---               ] 303 of 500 complete in 13.6 sec\n",
      "[-----------------63%----              ] 316 of 500 complete in 14.1 sec\n",
      "[-----------------65%----              ] 327 of 500 complete in 14.6 sec\n",
      "[-----------------68%-----             ] 340 of 500 complete in 15.1 sec\n",
      "[-----------------70%------            ] 353 of 500 complete in 15.7 sec\n",
      "[-----------------73%-------           ] 365 of 500 complete in 16.2 sec\n",
      "[-----------------75%--------          ] 378 of 500 complete in 16.7 sec\n",
      "[-----------------78%---------         ] 390 of 500 complete in 17.3 sec\n",
      "[-----------------80%----------        ] 404 of 500 complete in 17.8 sec\n",
      "[-----------------83%-----------       ] 416 of 500 complete in 18.3 sec\n",
      "[-----------------85%------------      ] 428 of 500 complete in 18.8 sec\n",
      "[-----------------88%-------------     ] 441 of 500 complete in 19.4 sec\n",
      "[-----------------90%--------------    ] 453 of 500 complete in 19.9 sec\n",
      "[-----------------93%---------------   ] 465 of 500 complete in 20.4 sec\n",
      "[-----------------95%----------------  ] 477 of 500 complete in 20.9 sec\n",
      "[-----------------97%----------------- ] 488 of 500 complete in 21.4 sec\n",
      "[-----------------100%-----------------] 500 of 500 complete in 21.9 sec\n",
      "[-----------------100%-----------------] 500 of 500 complete in 22.0 sec\n",
      "hddm sampling elpased time:  22.027 s\n",
      "[---               9%                  ] 46 of 500 complete in 0.5 sec\n",
      "[------           17%                  ] 89 of 500 complete in 1.0 sec\n",
      "[----------       28%                  ] 140 of 500 complete in 1.5 sec\n",
      "[--------------   38%                  ] 191 of 500 complete in 2.0 sec\n",
      "[-----------------49%                  ] 247 of 500 complete in 2.5 sec\n",
      "[-----------------60%---               ] 304 of 500 complete in 3.0 sec\n",
      "[-----------------71%-------           ] 359 of 500 complete in 3.5 sec\n",
      "[-----------------83%-----------       ] 418 of 500 complete in 4.0 sec\n",
      "[-----------------95%----------------  ] 477 of 500 complete in 4.5 sec\n",
      "[-----------------100%-----------------] 500 of 500 complete in 4.8 sec\n",
      "hddm sampling elpased time:  4.781 s\n",
      "[                  1%                  ] 6 of 500 complete in 0.5 sec\n",
      "[-                 3%                  ] 17 of 500 complete in 1.0 sec\n",
      "[--                5%                  ] 27 of 500 complete in 1.5 sec\n",
      "[--                7%                  ] 38 of 500 complete in 2.1 sec\n",
      "[---              10%                  ] 50 of 500 complete in 2.6 sec\n",
      "[----             12%                  ] 62 of 500 complete in 3.1 sec\n",
      "[-----            14%                  ] 73 of 500 complete in 3.6 sec\n",
      "[------           16%                  ] 84 of 500 complete in 4.2 sec\n",
      "[-------          19%                  ] 96 of 500 complete in 4.7 sec\n",
      "[--------         21%                  ] 108 of 500 complete in 5.2 sec\n",
      "[---------        23%                  ] 119 of 500 complete in 5.7 sec\n",
      "[---------        26%                  ] 130 of 500 complete in 6.2 sec\n",
      "[----------       28%                  ] 143 of 500 complete in 6.7 sec\n",
      "[-----------      31%                  ] 155 of 500 complete in 7.2 sec\n",
      "[------------     33%                  ] 167 of 500 complete in 7.7 sec\n",
      "[-------------    36%                  ] 180 of 500 complete in 8.3 sec\n",
      "[--------------   38%                  ] 192 of 500 complete in 8.8 sec\n",
      "[---------------  40%                  ] 203 of 500 complete in 9.3 sec\n",
      "[---------------- 42%                  ] 214 of 500 complete in 9.8 sec\n",
      "[-----------------45%                  ] 226 of 500 complete in 10.4 sec\n",
      "[-----------------47%                  ] 237 of 500 complete in 10.9 sec\n",
      "[-----------------49%                  ] 248 of 500 complete in 11.4 sec\n",
      "[-----------------51%                  ] 259 of 500 complete in 11.9 sec\n",
      "[-----------------54%                  ] 270 of 500 complete in 12.4 sec\n",
      "[-----------------56%-                 ] 281 of 500 complete in 13.0 sec\n",
      "[-----------------58%--                ] 293 of 500 complete in 13.5 sec\n",
      "[-----------------61%---               ] 305 of 500 complete in 14.0 sec\n",
      "[-----------------63%----              ] 317 of 500 complete in 14.5 sec\n",
      "[-----------------66%-----             ] 331 of 500 complete in 15.0 sec\n",
      "[-----------------68%------            ] 343 of 500 complete in 15.5 sec\n",
      "[-----------------70%------            ] 354 of 500 complete in 16.0 sec\n",
      "[-----------------73%-------           ] 367 of 500 complete in 16.6 sec\n",
      "[-----------------75%--------          ] 379 of 500 complete in 17.1 sec\n",
      "[-----------------78%---------         ] 392 of 500 complete in 17.6 sec\n",
      "[-----------------81%----------        ] 405 of 500 complete in 18.2 sec\n",
      "[-----------------83%-----------       ] 417 of 500 complete in 18.7 sec\n",
      "[-----------------85%------------      ] 429 of 500 complete in 19.2 sec\n",
      "[-----------------88%-------------     ] 442 of 500 complete in 19.7 sec\n",
      "[-----------------90%--------------    ] 454 of 500 complete in 20.2 sec\n",
      "[-----------------93%---------------   ] 466 of 500 complete in 20.7 sec\n",
      "[-----------------95%----------------  ] 478 of 500 complete in 21.3 sec\n",
      "[-----------------98%----------------- ] 491 of 500 complete in 21.8 sec\n",
      "[-----------------100%-----------------] 500 of 500 complete in 22.2 sec\n",
      "hddm sampling elpased time:  22.239 s\n",
      "The time of calculation of loglikelihood:  34.124 s\n",
      "Start generating posterior prediction...\n",
      "The time of generation of ppc:  14.517 s\n",
      "Start converting to InferenceData...\n",
      "CPU times: user 5.98 s, sys: 369 ms, total: 6.35 s\n",
      "Wall time: 1min 18s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "model_reg = hddm.HDDMRegressor(data, 'v~C(conf, Treatment(\"LC\"))',include = ['v', 'a', 't', 'z'])\n",
    "# note: setting save_name argument will delete the _temp*.db file\n",
    "save_name = \"model_fitted/hddmregressor_example\"\n",
    "model_reg_infdata = model_reg.sample(500, chains = 2, return_infdata = True, loglike = True, ppc = True, save_name = save_name)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
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       "    v_Intercept_subj.3                (chain, draw) float64 1.55 ... 0.4078\n",
       "    v_Intercept_subj.4                (chain, draw) float64 1.065 ... 1.436\n",
       "    v_C(conf, Treatment(&quot;LC&quot;))[T.HC]  (chain, draw) float64 0.18 ... -0.556</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-d222b04c-b89d-41f4-b635-ac5a3a2e1dc1' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d222b04c-b89d-41f4-b635-ac5a3a2e1dc1' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>chain</span>: 2</li><li><span class='xr-has-index'>draw</span>: 500</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-ec932403-c471-45e1-b1bd-0263a3b81efd' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ec932403-c471-45e1-b1bd-0263a3b81efd' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>chain</span></div><div class='xr-var-dims'>(chain)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1</div><input id='attrs-0ea77c6f-f691-452b-9f06-5c42b0ebe02f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0ea77c6f-f691-452b-9f06-5c42b0ebe02f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-33794807-31d4-432a-931b-6eebaab41a91' class='xr-var-data-in' type='checkbox'><label for='data-33794807-31d4-432a-931b-6eebaab41a91' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 1])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>draw</span></div><div class='xr-var-dims'>(draw)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 ... 495 496 497 498 499</div><input id='attrs-47887c64-5735-42b3-93ef-869feedd14c7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-47887c64-5735-42b3-93ef-869feedd14c7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d4ef8dc0-573e-4995-b25b-bb7ac66bdbe6' class='xr-var-data-in' type='checkbox'><label for='data-d4ef8dc0-573e-4995-b25b-bb7ac66bdbe6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([  0,   1,   2, ..., 497, 498, 499])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8f0d7803-2ea4-4a2d-85ee-818bfb51c065' class='xr-section-summary-in' type='checkbox'  ><label for='section-8f0d7803-2ea4-4a2d-85ee-818bfb51c065' class='xr-section-summary' >Data variables: <span>(29)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>a</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.396 2.17 2.112 ... 1.783 1.9</div><input id='attrs-9095d204-01de-4b51-bfa8-9ea506997e0e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9095d204-01de-4b51-bfa8-9ea506997e0e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f004a0cf-7549-400b-94bd-6e99a52053fd' class='xr-var-data-in' type='checkbox'><label for='data-f004a0cf-7549-400b-94bd-6e99a52053fd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[2.39591747, 2.17045518, 2.11182401, 1.8720144 , 2.51313766,\n",
       "        2.73358935, 2.57589854, 2.70926561, 1.89930529, 2.07572075,\n",
       "        2.85512468, 1.50348125, 1.80805   , 1.83315618, 2.06780842,\n",
       "        2.57570057, 2.60549491, 1.82255442, 2.27284389, 1.64371109,\n",
       "        1.69987455, 1.4746175 , 1.9233276 , 2.44259501, 1.95929809,\n",
       "        1.64432483, 1.56581762, 1.27364126, 1.03629055, 1.15110546,\n",
       "        2.57386405, 3.45396462, 2.16792207, 3.50960042, 2.71919943,\n",
       "        2.488592  , 2.0922055 , 2.18128948, 2.43154273, 2.53949077,\n",
       "        2.49609213, 2.01249614, 2.39716941, 1.59134301, 2.80912926,\n",
       "        2.22903601, 1.88089857, 1.89822731, 2.4579075 , 2.55351149,\n",
       "        3.04406995, 2.83761806, 2.5167356 , 2.07858008, 2.60846433,\n",
       "        1.26856548, 3.71861561, 1.53518213, 1.7824754 , 1.95016598,\n",
       "        2.49104063, 2.38906327, 1.86301189, 2.08309568, 2.13795332,\n",
       "        2.10915519, 1.8249273 , 1.85751557, 2.00126289, 1.790704  ,\n",
       "        1.89926028, 1.99460297, 1.6907598 , 1.77431584, 1.64926344,\n",
       "        1.6575752 , 1.50657191, 1.74701407, 1.97266601, 2.01035911,\n",
       "        1.85053585, 1.92189933, 1.7303102 , 1.75334175, 1.54008542,\n",
       "        1.48568239, 1.52952153, 2.03690807, 1.72121016, 2.14239572,\n",
       "        2.02882051, 2.08595719, 1.94846773, 1.74675837, 2.00199034,\n",
       "        2.22604061, 1.72504063, 1.87042745, 1.9720901 , 1.92485283,\n",
       "...\n",
       "        1.75311844, 2.56561225, 3.95347254, 3.98551021, 2.96735721,\n",
       "        3.65939295, 1.39437784, 1.70666377, 1.85476451, 2.07057709,\n",
       "        2.23509287, 2.68612905, 1.75245276, 1.75292401, 1.87595451,\n",
       "        2.24544674, 2.14911969, 1.89252049, 1.94548962, 1.80490688,\n",
       "        1.62355173, 2.07708104, 1.89008154, 1.92823813, 1.97307847,\n",
       "        1.95428156, 1.9401062 , 1.8315694 , 1.83276876, 1.66397848,\n",
       "        1.73530918, 1.895312  , 1.88488052, 1.81810538, 1.97469844,\n",
       "        2.01119014, 1.76591437, 1.91523299, 1.94714496, 1.98104448,\n",
       "        1.92339504, 1.90655447, 1.90495197, 1.85978611, 1.89656085,\n",
       "        1.782085  , 2.29149441, 1.49565749, 1.64351284, 1.63260776,\n",
       "        2.29985195, 1.61381404, 1.64833783, 2.14569481, 1.90808046,\n",
       "        1.91047394, 1.94949711, 1.961515  , 2.06167843, 1.98546931,\n",
       "        1.89699775, 1.84218074, 1.86906538, 2.40293863, 1.78510313,\n",
       "        2.2315305 , 2.77470553, 1.968786  , 1.91780422, 1.9844053 ,\n",
       "        1.94172032, 1.85568342, 1.80479569, 1.99487513, 1.89359789,\n",
       "        1.98359089, 1.96041116, 1.89923464, 1.83790516, 1.63304439,\n",
       "        2.30429286, 1.71508728, 1.91323167, 1.83717641, 1.83879671,\n",
       "        1.70242788, 2.0287698 , 2.19231553, 2.02411072, 1.93458427,\n",
       "        2.10882801, 2.24361404, 2.07342549, 1.93250386, 1.96822161,\n",
       "        1.98930774, 1.71639019, 1.77052635, 1.78258654, 1.90042129]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>a_std</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.911 1.674 1.59 ... 0.3919 0.354</div><input id='attrs-83e9bbde-9c51-48cd-b7ec-e537a4f9356c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-83e9bbde-9c51-48cd-b7ec-e537a4f9356c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1fe2905d-07c8-4c9a-a4d3-9b6ed199138f' class='xr-var-data-in' type='checkbox'><label for='data-1fe2905d-07c8-4c9a-a4d3-9b6ed199138f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 1.91124312,  1.67443083,  1.58972078,  1.31101294,  1.8691327 ,\n",
       "         2.2828986 ,  1.41759996,  2.73782369,  2.03512589,  1.97145193,\n",
       "         2.86387461,  1.92839023,  2.07103637,  1.96084754,  1.87063252,\n",
       "         1.64376505,  1.93617947,  1.35293736,  1.20248597,  1.12022883,\n",
       "         1.59666992,  2.01131694,  0.91896968,  2.25736565,  1.88296159,\n",
       "         1.2097055 ,  1.62538658,  1.09534045,  1.69253496,  2.52827721,\n",
       "         2.35468407,  2.41719941,  2.45668817,  2.17489734,  1.60941927,\n",
       "         1.63725505,  1.24364766,  1.96203777,  2.21254643,  1.27179973,\n",
       "         1.0870545 ,  1.42514447,  0.68504252,  0.72604741,  0.83230657,\n",
       "         0.97616408,  1.33065864,  0.7629235 ,  0.86185478,  0.67043394,\n",
       "         2.56992405,  1.95698202,  0.96146603,  0.99452173,  0.81538819,\n",
       "         0.95702892,  1.6379224 ,  1.95017557,  0.41087928,  0.47790558,\n",
       "         0.85530931,  0.64073587,  0.41576124,  0.31216597,  0.36768609,\n",
       "         0.61801005,  0.49842129,  0.26257302,  0.30507417,  0.37638173,\n",
       "         0.26048724,  0.28435888,  0.91196864,  0.94614149,  0.77778464,\n",
       "         0.21537393,  0.41610633,  0.50923979,  0.32159405,  0.40007499,\n",
       "         0.34239502,  0.30089417,  0.30160616,  0.57224943,  0.42818177,\n",
       "         0.62753368,  0.29085804,  0.71138042,  0.24338249,  0.66939033,\n",
       "         0.38868951,  0.45511028,  0.59891607,  0.22485537,  0.22117651,\n",
       "         0.59890885,  0.61215622,  0.79694856,  0.87352856,  0.31493221,\n",
       "...\n",
       "         0.66627277,  0.90300313,  1.73525744,  3.70916117,  3.27002604,\n",
       "         2.91487247,  1.36777037,  1.26197938,  0.91058444,  0.99383782,\n",
       "         1.31543956,  1.09196299,  1.03047224,  0.64461905,  0.41954517,\n",
       "         1.02798316,  0.67452365,  0.40968158,  0.34719357,  0.30532478,\n",
       "         0.37731202,  0.48686708,  0.42897748,  0.38000377,  0.33406289,\n",
       "         0.38199791,  0.42523479,  0.40353595,  0.25728341,  0.34831032,\n",
       "         0.36384322,  0.35378067,  0.35333278,  0.3920617 ,  0.2849232 ,\n",
       "         0.27924796,  0.29415038,  0.22716867,  0.36928925,  0.43379817,\n",
       "         0.25402147,  0.51236986,  0.36142695,  0.25231991,  0.30791395,\n",
       "         0.31495448,  0.92509728,  0.62458219,  0.38330222,  0.38765791,\n",
       "         0.47872257,  0.50690392,  0.49472642,  0.27237904,  0.52306972,\n",
       "         0.45720346,  0.39696123,  0.36588344,  0.37617855,  0.64003794,\n",
       "         0.66104948,  0.23348273,  0.21638699,  0.91743913,  0.80804637,\n",
       "         0.95029776,  1.31303839,  0.82651751,  0.27864082,  0.43457045,\n",
       "         0.49207442,  0.27789271,  0.45886445,  0.41934552,  0.51334025,\n",
       "         0.40660906,  0.34409181,  0.22845469,  0.85782433,  0.77875116,\n",
       "         0.72326161,  0.80171079,  0.77002106,  0.34996198,  0.32366456,\n",
       "         0.29418117,  0.31859107,  0.41740462,  0.64726443,  0.61611897,\n",
       "         0.69824581,  0.94050324,  0.70935919,  0.68979104,  0.47054293,\n",
       "         0.46969392,  0.33959659,  0.40976879,  0.39190124,  0.35400386]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>a_subj.0</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.473 1.483 1.774 ... 2.365 2.292</div><input id='attrs-6b932a15-296f-4460-aa70-1aa72e03ce2d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6b932a15-296f-4460-aa70-1aa72e03ce2d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-da631ff6-6991-4825-a1b4-eca291d8be5b' class='xr-var-data-in' type='checkbox'><label for='data-da631ff6-6991-4825-a1b4-eca291d8be5b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[1.47254644, 1.48311981, 1.77361503, 1.74392521, 2.63422434,\n",
       "        2.43380784, 2.3839153 , 2.143152  , 2.14231766, 2.19359473,\n",
       "        2.24013005, 2.1782314 , 2.17614276, 2.099052  , 2.06202212,\n",
       "        2.28659787, 2.25993205, 2.27829805, 2.28004039, 2.31241874,\n",
       "        2.30966689, 2.18251635, 2.26481479, 2.09319181, 2.11203428,\n",
       "        2.29103025, 2.27823953, 2.22738515, 2.23429035, 2.11853389,\n",
       "        2.18496934, 2.11885004, 2.19158646, 2.167906  , 2.16914354,\n",
       "        2.2594551 , 2.19406753, 2.20009529, 2.12632048, 2.16936649,\n",
       "        2.24299959, 2.18867436, 2.17658444, 2.21970804, 2.25810017,\n",
       "        2.0973236 , 2.27124583, 2.29641958, 2.26746769, 2.01912422,\n",
       "        2.237178  , 2.17989022, 2.18346299, 2.29157077, 2.27307813,\n",
       "        2.28636265, 2.21097021, 2.20824696, 2.19632185, 2.13899323,\n",
       "        2.15684322, 2.15047614, 2.30329796, 2.29720399, 2.2779658 ,\n",
       "        2.20307084, 2.182152  , 2.21706288, 2.22684469, 2.20153649,\n",
       "        2.22047988, 2.29548349, 2.25626032, 2.23967673, 2.16344079,\n",
       "        2.08268822, 2.14808762, 2.25333286, 2.20186223, 2.20780917,\n",
       "        2.27468055, 2.24010163, 2.28786988, 2.27882919, 2.14671405,\n",
       "        2.14786191, 2.07863189, 2.07893962, 2.10513497, 2.12950253,\n",
       "        2.31024046, 2.17167684, 2.11418683, 2.1711461 , 2.17054053,\n",
       "        2.29557037, 2.21884395, 2.27443561, 2.22324471, 2.25640665,\n",
       "...\n",
       "        2.28433929, 2.19308559, 2.10712691, 2.1025817 , 2.03461846,\n",
       "        2.15244978, 2.27598338, 2.20461636, 2.19415063, 2.22231922,\n",
       "        2.16916407, 2.1804694 , 2.19170456, 2.18515762, 2.21159618,\n",
       "        2.2325341 , 2.26213125, 2.23744616, 2.2333905 , 2.22195601,\n",
       "        2.15758454, 2.32018982, 2.18064954, 2.23316743, 2.20169551,\n",
       "        2.2320123 , 2.1690891 , 2.1716122 , 2.21743242, 2.1854446 ,\n",
       "        2.13098115, 2.13325686, 2.12275958, 2.21448856, 2.14945091,\n",
       "        2.24271482, 2.20257229, 2.17686831, 2.29873882, 2.2945679 ,\n",
       "        2.19133518, 2.22128902, 2.23875678, 2.27261079, 2.35454669,\n",
       "        2.28038873, 2.11489051, 2.16811108, 2.11575562, 2.11966332,\n",
       "        2.18392382, 2.23048937, 2.27716466, 2.17691877, 2.21522007,\n",
       "        2.13037246, 2.17035302, 2.23896536, 2.23511356, 2.18247673,\n",
       "        2.25366404, 2.21031147, 2.22776991, 2.27586936, 2.14964174,\n",
       "        2.14839824, 2.23356598, 2.19550909, 2.1962349 , 2.19932362,\n",
       "        2.18894039, 2.1839566 , 2.21856664, 2.2431832 , 2.23990126,\n",
       "        2.20469048, 2.24578377, 2.25717746, 2.28834518, 2.31955596,\n",
       "        2.30585833, 2.18805309, 2.21513407, 2.17032907, 2.16427729,\n",
       "        2.15037001, 2.20368708, 2.30493402, 2.19491714, 2.17182402,\n",
       "        2.16253154, 2.16732087, 2.21243633, 2.28565842, 2.21201942,\n",
       "        2.18692212, 2.31386486, 2.36188906, 2.36542221, 2.29171581]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>a_subj.1</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3.7 3.081 2.805 ... 2.122 2.141</div><input id='attrs-50440acc-7f98-4f0b-9091-2aac89d6d760' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-50440acc-7f98-4f0b-9091-2aac89d6d760' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c65048b7-f0c5-459e-9548-3b32cb80a90e' class='xr-var-data-in' type='checkbox'><label for='data-c65048b7-f0c5-459e-9548-3b32cb80a90e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 3.69966964,  3.08146166,  2.80451583,  2.25597349,  2.09448846,\n",
       "         2.13823504,  2.18256321,  2.13836362,  2.139012  ,  2.18897831,\n",
       "         2.0383809 ,  2.00939918,  2.22902109,  2.19592537,  2.14130731,\n",
       "         2.16239853,  2.28751724,  2.19740892,  2.07847501,  2.13404102,\n",
       "         2.10078669,  2.11173876,  2.07196617,  2.14876102,  2.12203778,\n",
       "         2.18938367,  2.17832737,  2.17874706,  2.12735833,  2.24125303,\n",
       "         2.22898051,  2.19977428,  2.11507979,  2.06957247,  2.09770727,\n",
       "         2.10282812,  2.04920614,  2.17470303,  2.28300711,  2.16555318,\n",
       "         2.2950836 ,  2.28390549,  2.23638674,  2.10028871,  2.25376308,\n",
       "         2.2963916 ,  2.25258926,  2.1481939 ,  2.14503618,  2.15770516,\n",
       "         2.03997193,  2.11330989,  2.17508418,  2.1658982 ,  2.08988974,\n",
       "         2.20613658,  2.15001782,  2.08655727,  2.05409694,  2.06764923,\n",
       "         2.07120755,  2.27225149,  2.34195512,  2.25190035,  2.15285965,\n",
       "         2.22783052,  2.12262626,  2.13220122,  2.19949205,  2.11257275,\n",
       "         2.10119975,  2.14013111,  2.17359959,  2.1615608 ,  2.12286966,\n",
       "         2.0752073 ,  2.16602927,  2.16592947,  2.20900429,  2.13514089,\n",
       "         2.08500006,  2.07078096,  2.07375775,  2.07467909,  2.11839575,\n",
       "         2.13106418,  2.06177232,  2.16349157,  2.04195457,  2.03523028,\n",
       "         2.01494269,  2.04950172,  2.01001939,  2.10065455,  2.1802212 ,\n",
       "         2.11153666,  2.23149208,  2.11665941,  2.10890408,  2.14690261,\n",
       "...\n",
       "         2.22571917,  2.11482971,  2.16608668,  2.20453012,  2.23308171,\n",
       "         2.18461765,  2.20732321,  2.22226391,  2.2146715 ,  2.16789003,\n",
       "         2.10745516,  2.14312491,  2.14363483,  2.14200872,  2.20035718,\n",
       "         2.13424647,  2.1877477 ,  2.20339615,  2.25990446,  2.11616248,\n",
       "         2.12248296,  2.10750361,  2.28318567,  2.25741076,  2.26817863,\n",
       "         2.0884832 ,  2.09218711,  2.08184467,  2.07846921,  2.09068104,\n",
       "         2.07271821,  2.04259733,  2.00311696,  2.04699094,  2.10527691,\n",
       "         2.14612259,  2.1955522 ,  2.2424354 ,  2.17897885,  2.09813587,\n",
       "         2.124422  ,  2.11393851,  2.27268106,  2.27705488,  2.28792464,\n",
       "         2.18745336,  2.1225939 ,  2.10045817,  2.14966846,  2.07482731,\n",
       "         2.16504837,  2.01006077,  2.12009773,  2.073564  ,  2.09068308,\n",
       "         2.06647868,  2.07622348,  2.22282108,  2.11554181,  2.28560077,\n",
       "         2.05348612,  2.15762095,  2.20315803,  2.20153553,  2.33108351,\n",
       "         2.23262706,  2.07234248,  2.11518861,  2.25104742,  2.00344649,\n",
       "         2.0996273 ,  2.1079679 ,  2.10765011,  2.1011173 ,  2.18936567,\n",
       "         2.15864462,  2.12084844,  2.17212032,  2.29163867,  2.15429104,\n",
       "         2.19184088,  2.20730134,  2.27184814,  2.15850833,  2.10066976,\n",
       "         2.09086963,  2.0907997 ,  2.14268356,  2.1356416 ,  2.11528786,\n",
       "         2.09886037,  2.22609574,  2.12852992,  2.13752557,  2.18060461,\n",
       "         2.10332238,  2.15898492,  2.14888206,  2.1215414 ,  2.14058284]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>a_subj.2</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.522 7.573 7.552 ... 1.627 1.624</div><input id='attrs-6d0c4982-3077-4c40-b4d5-10892c632ff8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6d0c4982-3077-4c40-b4d5-10892c632ff8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5181aa0d-574d-4f8c-88ff-857ff9a26eac' class='xr-var-data-in' type='checkbox'><label for='data-5181aa0d-574d-4f8c-88ff-857ff9a26eac' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 5.52220208,  7.57304712,  7.552167  ,  8.07073705,  9.24900208,\n",
       "        10.11965499, 10.17739997, 10.46450779, 10.714903  , 10.78149736,\n",
       "        10.19811628, 10.14017131,  9.87827267,  9.91137847,  9.90974198,\n",
       "         8.84454994,  8.54494103,  8.09497797,  7.34365258,  7.41575296,\n",
       "         7.64230361,  7.36558977,  7.40424683,  6.75013911,  6.94857056,\n",
       "         6.68589505,  6.48792741,  6.35948049,  6.29842387,  6.30622552,\n",
       "         5.98603138,  5.52410037,  5.49149973,  5.67089104,  5.67698774,\n",
       "         5.17851872,  5.55658278,  5.66850049,  5.6035418 ,  5.06543324,\n",
       "         4.86326755,  4.71905649,  4.80842097,  4.80300363,  5.0745038 ,\n",
       "         5.01212692,  4.97350654,  4.71074566,  4.66975557,  4.69324312,\n",
       "         4.74531814,  4.80467626,  4.68802581,  4.69211681,  4.32387891,\n",
       "         4.19262356,  3.94993556,  3.55216847,  3.55520764,  2.85846811,\n",
       "         2.34536273,  2.08028633,  1.63871243,  1.63920978,  1.63995591,\n",
       "         1.62378632,  1.60520793,  1.60287478,  1.57766696,  1.58641318,\n",
       "         1.54656974,  1.58170264,  1.53948612,  1.5454207 ,  1.49686913,\n",
       "         1.52076592,  1.5971351 ,  1.57849834,  1.60711016,  1.58634111,\n",
       "         1.65301985,  1.58095544,  1.56132813,  1.55926884,  1.48688942,\n",
       "         1.58348961,  1.58728598,  1.61186722,  1.4653407 ,  1.51994387,\n",
       "         1.51824025,  1.63243146,  1.61460798,  1.58228853,  1.56576528,\n",
       "         1.60955837,  1.61928155,  1.55046224,  1.57947641,  1.53821451,\n",
       "...\n",
       "         1.52842801,  1.55846405,  1.55050215,  1.57369537,  1.57478301,\n",
       "         1.60081911,  1.6086043 ,  1.51982223,  1.55192812,  1.5208914 ,\n",
       "         1.5068672 ,  1.53231269,  1.54486752,  1.56324087,  1.55804859,\n",
       "         1.52757391,  1.55000345,  1.55384065,  1.52087734,  1.52756609,\n",
       "         1.551239  ,  1.54385662,  1.53893339,  1.52563906,  1.57505209,\n",
       "         1.54902533,  1.61669666,  1.61399137,  1.60414418,  1.58967851,\n",
       "         1.59925132,  1.59153194,  1.54605659,  1.56342522,  1.61132279,\n",
       "         1.59869083,  1.49807706,  1.525614  ,  1.57427884,  1.53843373,\n",
       "         1.57230431,  1.55856744,  1.559755  ,  1.5409841 ,  1.47741115,\n",
       "         1.49751936,  1.47919629,  1.54275656,  1.53909414,  1.51971079,\n",
       "         1.58842966,  1.57266205,  1.54960126,  1.51656923,  1.51397232,\n",
       "         1.5993647 ,  1.60123977,  1.6022795 ,  1.56029967,  1.49576399,\n",
       "         1.64710902,  1.59878229,  1.64404348,  1.4984656 ,  1.5593984 ,\n",
       "         1.53509456,  1.5745374 ,  1.54540903,  1.5616831 ,  1.55151876,\n",
       "         1.50865764,  1.53127669,  1.56915491,  1.49169773,  1.60661938,\n",
       "         1.59966001,  1.52262397,  1.61973579,  1.59002723,  1.59895774,\n",
       "         1.5356992 ,  1.50200809,  1.56010809,  1.5167318 ,  1.52616197,\n",
       "         1.63317046,  1.59741279,  1.62020931,  1.66838735,  1.67169087,\n",
       "         1.50489281,  1.46056609,  1.47943999,  1.64612521,  1.62377881,\n",
       "         1.56246586,  1.59612139,  1.61423521,  1.62735969,  1.62388098]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>a_subj.3</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.488 1.363 2.031 ... 2.258 2.256</div><input id='attrs-8c661488-9660-4b32-9c3c-4b26df8649c2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8c661488-9660-4b32-9c3c-4b26df8649c2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6dee0494-1f4f-4cdc-b867-47ff64e0fa96' class='xr-var-data-in' type='checkbox'><label for='data-6dee0494-1f4f-4cdc-b867-47ff64e0fa96' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[1.48819755, 1.36262346, 2.03069017, 2.12538661, 2.1950048 ,\n",
       "        2.18453093, 2.28191075, 2.24993738, 2.15783158, 2.17507923,\n",
       "        2.19542719, 2.20474454, 2.18797416, 2.09764478, 2.10925087,\n",
       "        2.13532806, 2.16027512, 2.19722952, 2.1669105 , 2.14177178,\n",
       "        2.22036302, 2.30588305, 2.32122416, 2.19494252, 2.219757  ,\n",
       "        2.15690724, 2.07196362, 2.09522288, 2.20606681, 2.15374736,\n",
       "        2.21041403, 2.19745564, 2.16088675, 2.12697086, 2.16372649,\n",
       "        2.20963148, 2.22854688, 2.2639831 , 2.1989495 , 2.17461181,\n",
       "        2.35307505, 2.04556815, 2.10094821, 2.02653159, 2.20135824,\n",
       "        2.17645319, 2.13100343, 2.1259786 , 2.07681289, 2.2068667 ,\n",
       "        2.22940446, 2.20136888, 2.19925423, 2.17482622, 2.11201255,\n",
       "        2.17633798, 2.1262044 , 2.16361938, 2.2573434 , 2.22121271,\n",
       "        2.27934315, 2.26994186, 2.25040189, 2.22765826, 2.13126522,\n",
       "        2.08558193, 2.14014523, 2.13020627, 2.17785026, 2.23254749,\n",
       "        2.23701002, 2.18539073, 2.17482765, 2.11980622, 2.23457404,\n",
       "        2.21854049, 2.2091176 , 2.25857557, 2.25356043, 2.2404309 ,\n",
       "        2.12517734, 2.18874468, 2.0662043 , 2.19678394, 2.2502754 ,\n",
       "        2.14763255, 2.25935853, 2.22992508, 2.12975344, 2.15858237,\n",
       "        2.2669671 , 2.25447924, 2.2471464 , 2.23380684, 2.27143823,\n",
       "        2.10326449, 2.22762644, 2.27300603, 2.26547865, 2.24964304,\n",
       "...\n",
       "        2.20594542, 2.20084115, 2.07242008, 2.12673532, 2.12942745,\n",
       "        2.13301286, 2.14013561, 2.12736461, 2.07693001, 2.08454328,\n",
       "        2.03876306, 2.07267927, 2.18862959, 2.25317199, 2.27557022,\n",
       "        2.14635598, 2.11411391, 2.05320641, 2.06968623, 2.19881245,\n",
       "        2.29372932, 2.13473991, 2.13352817, 2.10190778, 2.2454584 ,\n",
       "        2.30817515, 2.25738226, 2.2199182 , 2.23861297, 2.15980034,\n",
       "        2.1404411 , 2.24429988, 2.11555171, 2.26269007, 2.12897374,\n",
       "        2.12381258, 2.18247406, 2.17429461, 2.13392817, 2.06912259,\n",
       "        2.0816318 , 2.20889147, 2.17097063, 2.12740195, 2.06726791,\n",
       "        2.16630794, 2.16157796, 2.31317066, 2.30678013, 2.24800619,\n",
       "        2.30179639, 2.1962249 , 2.14574942, 2.23837886, 2.25338135,\n",
       "        2.18346026, 2.15561441, 2.17025376, 2.30549579, 2.20666068,\n",
       "        2.08301003, 2.11964781, 2.21352898, 2.17967242, 2.17581305,\n",
       "        2.17764673, 2.22323045, 2.18441228, 2.23279603, 2.25526907,\n",
       "        2.20022483, 2.25204204, 2.20448604, 2.17438108, 2.14362281,\n",
       "        2.1494775 , 2.20695222, 2.22840664, 2.27183616, 2.21340549,\n",
       "        2.22595738, 2.26701563, 2.21618865, 2.23541308, 2.08503235,\n",
       "        2.1376006 , 2.210095  , 2.12487129, 2.1053678 , 2.10775018,\n",
       "        2.14195849, 2.09146118, 2.06020479, 2.08621116, 2.08589182,\n",
       "        2.10812619, 2.27046682, 2.36415596, 2.25760324, 2.25622326]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>a_subj.4</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.234 1.243 1.378 ... 1.529 1.529</div><input id='attrs-512d10c2-c6d6-48b9-8738-db004aac8def' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-512d10c2-c6d6-48b9-8738-db004aac8def' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1f7ea0ba-8ff7-4a37-b6f4-37ab08360999' class='xr-var-data-in' type='checkbox'><label for='data-1f7ea0ba-8ff7-4a37-b6f4-37ab08360999' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[1.23357752, 1.24259599, 1.37783114, 1.5532613 , 1.57956971,\n",
       "        1.44838498, 1.42732372, 1.50458912, 1.50337279, 1.48541221,\n",
       "        1.51197781, 1.46286863, 1.4570289 , 1.4714801 , 1.52056434,\n",
       "        1.45289763, 1.47979332, 1.498649  , 1.51543955, 1.50634134,\n",
       "        1.50086613, 1.50477043, 1.47479714, 1.41234996, 1.44650549,\n",
       "        1.51157578, 1.52933739, 1.55316901, 1.54357706, 1.52969013,\n",
       "        1.51412852, 1.45253536, 1.52914006, 1.45247242, 1.43442394,\n",
       "        1.4391016 , 1.48450691, 1.45303596, 1.45873438, 1.4845347 ,\n",
       "        1.48333998, 1.499866  , 1.36696394, 1.3512802 , 1.35129239,\n",
       "        1.51409895, 1.54008201, 1.54435759, 1.47664088, 1.43875253,\n",
       "        1.43552518, 1.43691641, 1.52413853, 1.49730129, 1.41723316,\n",
       "        1.49857638, 1.47538334, 1.47236178, 1.55004509, 1.55985976,\n",
       "        1.44527467, 1.47768617, 1.50911438, 1.49942025, 1.47980096,\n",
       "        1.58611717, 1.44349146, 1.54788833, 1.51789126, 1.48978133,\n",
       "        1.50075094, 1.48311809, 1.46425431, 1.4645682 , 1.39839218,\n",
       "        1.42800636, 1.52483779, 1.52244149, 1.50617561, 1.48916808,\n",
       "        1.48117958, 1.48259734, 1.47951632, 1.474188  , 1.49578914,\n",
       "        1.56906127, 1.58173397, 1.60271127, 1.44560857, 1.44119054,\n",
       "        1.47333989, 1.52387556, 1.44993409, 1.51538127, 1.51181848,\n",
       "        1.50760941, 1.52387102, 1.60058091, 1.55613176, 1.55665972,\n",
       "...\n",
       "        1.52262556, 1.52882281, 1.50390543, 1.456469  , 1.47419464,\n",
       "        1.45095983, 1.49227866, 1.46473864, 1.54529517, 1.4619897 ,\n",
       "        1.46306526, 1.45271877, 1.43662834, 1.46450143, 1.45951229,\n",
       "        1.50673631, 1.49643384, 1.53108893, 1.52745995, 1.54956599,\n",
       "        1.54370432, 1.58241157, 1.54491561, 1.52075966, 1.47309295,\n",
       "        1.4491607 , 1.44305123, 1.49144375, 1.51331825, 1.48593946,\n",
       "        1.46278171, 1.523786  , 1.52472089, 1.53008987, 1.52521869,\n",
       "        1.50897322, 1.57476211, 1.62217067, 1.60073619, 1.48070972,\n",
       "        1.51258584, 1.58282164, 1.59094499, 1.43105605, 1.47184541,\n",
       "        1.45858064, 1.48615846, 1.46125923, 1.46149785, 1.46280017,\n",
       "        1.44870502, 1.4601403 , 1.5240769 , 1.53781846, 1.53826434,\n",
       "        1.52003816, 1.55519285, 1.56019102, 1.49867143, 1.49566804,\n",
       "        1.48739552, 1.50877359, 1.53995359, 1.48958151, 1.49374711,\n",
       "        1.44558436, 1.4617545 , 1.4245246 , 1.42309179, 1.49076481,\n",
       "        1.43006608, 1.44843924, 1.4491153 , 1.50939061, 1.49103729,\n",
       "        1.5855685 , 1.54293016, 1.39687463, 1.54228519, 1.4595025 ,\n",
       "        1.46227043, 1.41625522, 1.41848   , 1.46844483, 1.44896018,\n",
       "        1.48707543, 1.47974613, 1.45336847, 1.48131583, 1.43954242,\n",
       "        1.48150361, 1.4630328 , 1.42657626, 1.44355726, 1.46134707,\n",
       "        1.44293796, 1.51576977, 1.50974399, 1.52942646, 1.52909929]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>t</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.3255 1.624 ... 0.5312 0.4729</div><input id='attrs-db0ae4b4-fa09-4869-ad3f-b3601be8283c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-db0ae4b4-fa09-4869-ad3f-b3601be8283c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7f60f7fa-38c7-40a7-9705-fee8657919a2' class='xr-var-data-in' type='checkbox'><label for='data-7f60f7fa-38c7-40a7-9705-fee8657919a2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.32552246, 1.62372592, 1.0033833 , 0.76397887, 0.64715667,\n",
       "        0.46367795, 0.43632525, 0.42552241, 0.43009458, 0.52412699,\n",
       "        0.33157259, 0.41437995, 0.36347869, 0.41516303, 0.39817133,\n",
       "        0.39097624, 0.44715126, 0.47798858, 0.36424009, 0.42584992,\n",
       "        0.35468   , 0.38748663, 0.35609405, 0.48823595, 0.41085435,\n",
       "        0.43816277, 0.37460182, 0.42794462, 0.35235591, 0.31503797,\n",
       "        0.38280645, 0.3910001 , 0.44319568, 0.47138642, 0.37421865,\n",
       "        0.3537708 , 0.4327978 , 0.453761  , 0.39585051, 0.34271615,\n",
       "        0.41144324, 0.36308637, 0.34977129, 0.4494104 , 0.34787462,\n",
       "        0.60465279, 0.43760492, 0.48977778, 0.51234755, 0.37540889,\n",
       "        0.56622989, 0.49470876, 0.34731715, 0.3237848 , 0.28335233,\n",
       "        0.45530531, 0.4833061 , 0.47326544, 0.38990349, 0.45216681,\n",
       "        0.4484282 , 0.45189206, 0.49024015, 0.40401353, 0.50401541,\n",
       "        0.45562812, 0.45133444, 0.50804623, 0.56922371, 0.5635595 ,\n",
       "        0.45679233, 0.47552334, 0.47146288, 0.47250033, 0.44582786,\n",
       "        0.49790208, 0.50083412, 0.36422898, 0.41886045, 0.43215193,\n",
       "        0.52556614, 0.54178186, 0.502373  , 0.52874285, 0.41493363,\n",
       "        0.5259436 , 0.55006431, 0.48934162, 0.47607408, 0.49083121,\n",
       "        0.54891336, 0.39693491, 0.41691881, 0.52119059, 0.46909719,\n",
       "        0.48595306, 0.51540847, 0.50362744, 0.41641151, 0.4822414 ,\n",
       "...\n",
       "        0.62074369, 0.59409935, 0.41957598, 0.53714552, 0.3771617 ,\n",
       "        0.51993004, 0.50025264, 0.42374018, 0.41934659, 0.48179807,\n",
       "        0.48831926, 0.49196737, 0.43889083, 0.47225865, 0.43451782,\n",
       "        0.40083412, 0.4107219 , 0.37745712, 0.35966172, 0.34712989,\n",
       "        0.4698791 , 0.42894708, 0.45740765, 0.43941859, 0.49648594,\n",
       "        0.4560566 , 0.4620666 , 0.47351433, 0.41519173, 0.47792398,\n",
       "        0.49225718, 0.45193984, 0.52240344, 0.48023548, 0.52652159,\n",
       "        0.49712895, 0.50012016, 0.49718252, 0.4901431 , 0.48271123,\n",
       "        0.48975785, 0.42393359, 0.59785888, 0.614463  , 0.369771  ,\n",
       "        0.45521279, 0.48107653, 0.32298565, 0.47689627, 0.46049207,\n",
       "        0.44219256, 0.46498846, 0.48678667, 0.51212897, 0.52622157,\n",
       "        0.53959746, 0.44165011, 0.40681839, 0.47564319, 0.45900167,\n",
       "        0.48512216, 0.52331539, 0.41413406, 0.44705104, 0.4747375 ,\n",
       "        0.47507555, 0.42980057, 0.53105673, 0.41422169, 0.66784342,\n",
       "        0.67797913, 0.37470212, 0.43791586, 0.58819274, 0.5159078 ,\n",
       "        0.50509104, 0.52188966, 0.43550803, 0.47697667, 0.37806525,\n",
       "        0.53191934, 0.52817622, 0.35612079, 0.47296837, 0.4557455 ,\n",
       "        0.48365474, 0.47853245, 0.47390986, 0.48171465, 0.55908873,\n",
       "        0.49892016, 0.43962445, 0.54073867, 0.48548262, 0.49594164,\n",
       "        0.40294443, 0.4842656 , 0.48032778, 0.53119175, 0.47287605]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>t_std</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3.631 2.548 ... 0.2397 0.2243</div><input id='attrs-808ef6c8-e8ea-48c4-b9cf-704d4cd1ac0e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-808ef6c8-e8ea-48c4-b9cf-704d4cd1ac0e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7546639b-1ea4-4c8d-bd4f-77cafb6fefff' class='xr-var-data-in' type='checkbox'><label for='data-7546639b-1ea4-4c8d-bd4f-77cafb6fefff' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[3.63084843, 2.54784496, 0.92936531, 0.97436991, 0.32355692,\n",
       "        0.34204693, 0.23626068, 0.25948094, 0.20361075, 0.22765044,\n",
       "        0.22224144, 0.10012015, 0.16963838, 0.12158479, 0.29914878,\n",
       "        0.32876207, 0.22363202, 0.22263762, 0.16376582, 0.14086961,\n",
       "        0.09342186, 0.09246332, 0.17291876, 0.15697403, 0.11633222,\n",
       "        0.19050446, 0.12629487, 0.2040214 , 0.33286373, 0.08745229,\n",
       "        0.20596849, 0.1907463 , 0.16876997, 0.18177611, 0.24758145,\n",
       "        0.11508715, 0.20206242, 0.19293056, 0.13148005, 0.12111897,\n",
       "        0.08597785, 0.09298464, 0.21694181, 0.18833971, 0.33074478,\n",
       "        0.42804226, 0.1561963 , 0.39210314, 0.16654286, 0.18060619,\n",
       "        0.19764842, 0.27099185, 0.10131439, 0.14173342, 0.13771252,\n",
       "        0.11282951, 0.2412414 , 0.1778125 , 0.20563603, 0.25855877,\n",
       "        0.20233916, 0.26120453, 0.11061215, 0.12492932, 0.07684962,\n",
       "        0.15457957, 0.1061388 , 0.12938161, 0.13039336, 0.27418993,\n",
       "        0.09288663, 0.12791868, 0.06353252, 0.10036189, 0.06292816,\n",
       "        0.09030669, 0.09477539, 0.06769962, 0.08964109, 0.0828833 ,\n",
       "        0.07666064, 0.22797538, 0.09287792, 0.14361194, 0.09775202,\n",
       "        0.11480623, 0.12972199, 0.14518474, 0.15149874, 0.16761451,\n",
       "        0.14833962, 0.14439442, 0.11865274, 0.0973324 , 0.09912883,\n",
       "        0.14926326, 0.13537775, 0.09564197, 0.06384536, 0.10475549,\n",
       "...\n",
       "        0.18312289, 0.56640487, 0.23590662, 0.1782515 , 0.17095571,\n",
       "        0.11616599, 0.11732412, 0.08383631, 0.13161499, 0.16577621,\n",
       "        0.11658156, 0.07213582, 0.06798374, 0.1005739 , 0.14216309,\n",
       "        0.05792236, 0.11817233, 0.16044989, 0.14999869, 0.1055073 ,\n",
       "        0.12029985, 0.16210857, 0.08449621, 0.08322399, 0.07240495,\n",
       "        0.11509867, 0.04713766, 0.14117281, 0.09530678, 0.10292271,\n",
       "        0.08055324, 0.11069834, 0.11613389, 0.20721663, 0.14786939,\n",
       "        0.1085241 , 0.18723438, 0.2693115 , 0.25585638, 0.20704362,\n",
       "        0.07263618, 0.05747495, 0.29338223, 0.13053884, 0.37219012,\n",
       "        0.0598696 , 0.1835038 , 0.2470675 , 0.09969372, 0.08811178,\n",
       "        0.07975726, 0.10325798, 0.11961523, 0.11488359, 0.18306724,\n",
       "        0.22991428, 0.18940415, 0.12979272, 0.12085145, 0.09241953,\n",
       "        0.15265066, 0.09733823, 0.18126899, 0.198372  , 0.10642751,\n",
       "        0.16704736, 0.17513055, 0.10667654, 0.27725721, 0.29989732,\n",
       "        0.33411936, 0.34524016, 0.3860595 , 0.1974238 , 0.225544  ,\n",
       "        0.21784773, 0.07837574, 0.05934887, 0.1418114 , 0.10238093,\n",
       "        0.07888846, 0.13937674, 0.11185532, 0.1565596 , 0.20404018,\n",
       "        0.1091633 , 0.08140702, 0.09680005, 0.05606761, 0.20013491,\n",
       "        0.16885978, 0.06952947, 0.13676695, 0.15764912, 0.14990778,\n",
       "        0.08127549, 0.18592305, 0.28212195, 0.2396732 , 0.22426735]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>t_subj.0</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.143 1.446 1.329 ... 0.5481 0.5307</div><input id='attrs-d2210455-15bb-496d-86e0-ac79e315f1b4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d2210455-15bb-496d-86e0-ac79e315f1b4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b8cfb647-0bc8-40f2-a51b-246cc90814d9' class='xr-var-data-in' type='checkbox'><label for='data-b8cfb647-0bc8-40f2-a51b-246cc90814d9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[2.14303942e+00, 1.44584783e+00, 1.32905891e+00, 1.04129883e+00,\n",
       "        3.60274717e-01, 5.59925490e-01, 5.06921708e-01, 5.11730029e-01,\n",
       "        5.39840632e-01, 5.38765688e-01, 5.58512240e-01, 5.60741682e-01,\n",
       "        5.42654179e-01, 5.57495762e-01, 5.80814322e-01, 5.87987578e-01,\n",
       "        5.16361342e-01, 5.36439234e-01, 5.24124366e-01, 5.08046554e-01,\n",
       "        5.32741688e-01, 5.19409451e-01, 5.23010759e-01, 5.56840910e-01,\n",
       "        5.81181385e-01, 5.87381880e-01, 5.41386888e-01, 6.03679757e-01,\n",
       "        5.60634390e-01, 5.24064404e-01, 5.96661543e-01, 5.66260357e-01,\n",
       "        5.82523750e-01, 5.65453916e-01, 5.43299299e-01, 5.25523907e-01,\n",
       "        5.21885139e-01, 5.88554689e-01, 5.96156619e-01, 5.68823542e-01,\n",
       "        5.43603687e-01, 5.55444714e-01, 5.43609071e-01, 5.49152296e-01,\n",
       "        5.57690361e-01, 5.70288727e-01, 5.77995474e-01, 5.70896657e-01,\n",
       "        5.02109107e-01, 5.74220552e-01, 6.15625806e-01, 5.52372165e-01,\n",
       "        5.64916416e-01, 5.45882369e-01, 5.19833483e-01, 5.19381063e-01,\n",
       "        5.36200915e-01, 5.33183543e-01, 5.47364880e-01, 5.16142381e-01,\n",
       "        6.32927618e-01, 5.48827979e-01, 5.39785462e-01, 5.40160169e-01,\n",
       "        5.45172892e-01, 5.23491772e-01, 5.38728676e-01, 5.73543179e-01,\n",
       "        5.45629142e-01, 5.31991773e-01, 5.43121627e-01, 5.42825877e-01,\n",
       "        5.00041347e-01, 5.17790225e-01, 5.37068284e-01, 5.65646738e-01,\n",
       "        5.70242634e-01, 5.07279876e-01, 5.40063945e-01, 5.13490595e-01,\n",
       "...\n",
       "        5.37328053e-01, 5.44053297e-01, 5.61434553e-01, 5.48394654e-01,\n",
       "        5.50529818e-01, 5.36447198e-01, 5.34782586e-01, 5.30797817e-01,\n",
       "        5.67892384e-01, 5.67053060e-01, 5.72448687e-01, 5.74437882e-01,\n",
       "        5.76694438e-01, 5.28607541e-01, 5.52908546e-01, 5.32710990e-01,\n",
       "        5.50605701e-01, 5.21753363e-01, 5.30130942e-01, 5.36889845e-01,\n",
       "        5.68753038e-01, 5.52065261e-01, 5.35451694e-01, 4.83355664e-01,\n",
       "        4.95381009e-01, 5.46873906e-01, 5.44035768e-01, 5.82300705e-01,\n",
       "        5.32943482e-01, 5.25222817e-01, 5.31189973e-01, 5.30920753e-01,\n",
       "        5.29061909e-01, 5.62764708e-01, 5.67050971e-01, 5.39244154e-01,\n",
       "        5.45494964e-01, 5.41287769e-01, 5.50115531e-01, 5.48116896e-01,\n",
       "        5.38007783e-01, 5.60816545e-01, 5.48952180e-01, 5.22903334e-01,\n",
       "        5.35836204e-01, 5.27331140e-01, 5.41814949e-01, 5.55301020e-01,\n",
       "        5.46339458e-01, 6.03979676e-01, 5.55256103e-01, 5.70914819e-01,\n",
       "        5.37155142e-01, 5.22464019e-01, 5.58408749e-01, 5.26537172e-01,\n",
       "        5.21553564e-01, 5.15764315e-01, 5.08639910e-01, 5.47355974e-01,\n",
       "        5.18092412e-01, 5.15007566e-01, 5.52758084e-01, 5.70416222e-01,\n",
       "        5.45443169e-01, 5.37886103e-01, 5.19754375e-01, 5.12590720e-01,\n",
       "        5.89555282e-01, 5.44259803e-01, 5.50883228e-01, 5.66502597e-01,\n",
       "        5.39307220e-01, 5.25070397e-01, 5.30680423e-01, 5.58786541e-01,\n",
       "        5.45888184e-01, 4.84927004e-01, 5.48067149e-01, 5.30655579e-01]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>t_subj.1</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0006545 0.247 ... 0.3948 0.4104</div><input id='attrs-54b0e322-1d5e-4b89-9776-3312ad70bba0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-54b0e322-1d5e-4b89-9776-3312ad70bba0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2561c76f-c909-4b9b-8fe5-d7d0fbc84f92' class='xr-var-data-in' type='checkbox'><label for='data-2561c76f-c909-4b9b-8fe5-d7d0fbc84f92' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.00065448, 0.24698053, 0.32606727, 0.4102836 , 0.40652049,\n",
       "        0.40238066, 0.40347736, 0.40491383, 0.40660928, 0.41616493,\n",
       "        0.40592773, 0.39647873, 0.36090035, 0.41176827, 0.40554744,\n",
       "        0.381964  , 0.37966469, 0.41277303, 0.41019649, 0.41661508,\n",
       "        0.41129568, 0.42049476, 0.41896627, 0.41679134, 0.39584133,\n",
       "        0.40587373, 0.39282175, 0.39611336, 0.3833595 , 0.38712411,\n",
       "        0.38924233, 0.3909668 , 0.39803662, 0.40637953, 0.40449388,\n",
       "        0.43335994, 0.40931246, 0.37477356, 0.39769631, 0.39990519,\n",
       "        0.34171276, 0.36497929, 0.36983138, 0.36844233, 0.33913617,\n",
       "        0.3403079 , 0.40069862, 0.41995514, 0.40532408, 0.40592991,\n",
       "        0.37685602, 0.38120976, 0.38987461, 0.38856709, 0.3878297 ,\n",
       "        0.37858137, 0.38844647, 0.39867301, 0.39651275, 0.41152954,\n",
       "        0.39436597, 0.35966288, 0.35813422, 0.40364884, 0.3680911 ,\n",
       "        0.37825476, 0.42854929, 0.407048  , 0.38368865, 0.39865504,\n",
       "        0.40344178, 0.39398047, 0.39518224, 0.41529415, 0.40699346,\n",
       "        0.40150431, 0.39385465, 0.40370932, 0.40486848, 0.40154991,\n",
       "        0.40620677, 0.40532469, 0.38835144, 0.39952676, 0.39450469,\n",
       "        0.40638829, 0.41389144, 0.41460123, 0.39904057, 0.42213645,\n",
       "        0.40664341, 0.41083853, 0.40567399, 0.39202484, 0.41341907,\n",
       "        0.40368252, 0.39131595, 0.40055579, 0.40902478, 0.39098906,\n",
       "...\n",
       "        0.3975333 , 0.40915045, 0.38414471, 0.38548249, 0.35675871,\n",
       "        0.36655545, 0.38843898, 0.36218288, 0.36283751, 0.39751034,\n",
       "        0.39695047, 0.3966237 , 0.38376291, 0.38563886, 0.42027499,\n",
       "        0.37960125, 0.38795155, 0.38125564, 0.38467624, 0.38778877,\n",
       "        0.40376897, 0.4000027 , 0.39450259, 0.36981919, 0.37511573,\n",
       "        0.40023574, 0.40254762, 0.39971746, 0.40861318, 0.41525154,\n",
       "        0.40057551, 0.40770442, 0.41182273, 0.40777109, 0.40601254,\n",
       "        0.39474526, 0.3720003 , 0.3832247 , 0.38321129, 0.37371816,\n",
       "        0.39921298, 0.3649284 , 0.38433539, 0.38013543, 0.36465551,\n",
       "        0.41166479, 0.3905647 , 0.4073699 , 0.37997616, 0.40569971,\n",
       "        0.40970265, 0.41373218, 0.41770121, 0.40085502, 0.40403689,\n",
       "        0.40691138, 0.38660925, 0.38690302, 0.3843666 , 0.3816883 ,\n",
       "        0.39112886, 0.37993357, 0.35962197, 0.36728053, 0.36516319,\n",
       "        0.39440783, 0.39954835, 0.40258121, 0.4078401 , 0.39232508,\n",
       "        0.4036402 , 0.41180743, 0.37471224, 0.38484714, 0.38106763,\n",
       "        0.39327895, 0.41239275, 0.37984131, 0.38242173, 0.38627932,\n",
       "        0.38663053, 0.39189365, 0.3739102 , 0.40258967, 0.3913865 ,\n",
       "        0.42080165, 0.39936667, 0.39632201, 0.39966955, 0.40421198,\n",
       "        0.39078298, 0.41577225, 0.38298869, 0.37870352, 0.3991219 ,\n",
       "        0.39165563, 0.35567409, 0.39657629, 0.39477446, 0.41044078]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>t_subj.2</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0005686 0.00111 ... 0.4847 0.4806</div><input id='attrs-3ee9d7b7-0491-4c7a-a3ae-7cf1e2da4076' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3ee9d7b7-0491-4c7a-a3ae-7cf1e2da4076' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-45614d31-c3d3-4df8-9127-007b4898a63a' class='xr-var-data-in' type='checkbox'><label for='data-45614d31-c3d3-4df8-9127-007b4898a63a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[5.68620184e-04, 1.11031467e-03, 1.72910919e-02, 8.61646759e-02,\n",
       "        6.44208094e-02, 6.78922880e-02, 9.28979451e-02, 1.09916921e-01,\n",
       "        1.44707094e-01, 1.62489819e-01, 1.77795979e-01, 2.16540226e-01,\n",
       "        2.21283309e-01, 1.56992031e-01, 1.90342857e-01, 2.14398176e-01,\n",
       "        2.36150333e-01, 2.34835508e-01, 2.55185075e-01, 2.36835997e-01,\n",
       "        1.90218456e-01, 2.18353123e-01, 2.27146092e-01, 2.44429052e-01,\n",
       "        2.44816066e-01, 2.30042210e-01, 2.28271229e-01, 2.22482089e-01,\n",
       "        1.93158015e-01, 1.82335335e-01, 1.96438294e-01, 2.20572570e-01,\n",
       "        2.31031761e-01, 2.08591549e-01, 1.70708761e-01, 1.75386406e-01,\n",
       "        1.74744060e-01, 1.72065152e-01, 2.08998922e-01, 2.56393600e-01,\n",
       "        2.77299502e-01, 2.72096600e-01, 2.71797160e-01, 2.61522049e-01,\n",
       "        1.87003622e-01, 2.00182074e-01, 1.94213065e-01, 2.44089423e-01,\n",
       "        2.39773423e-01, 2.08170930e-01, 1.58174782e-01, 1.38673426e-01,\n",
       "        1.60366570e-01, 1.64886243e-01, 2.42359747e-01, 2.50061359e-01,\n",
       "        2.45829047e-01, 2.56863511e-01, 1.79819287e-01, 1.83263819e-01,\n",
       "        3.14599689e-01, 4.16330324e-01, 4.65789780e-01, 4.65745866e-01,\n",
       "        4.78755664e-01, 4.92739971e-01, 4.88277197e-01, 4.86523904e-01,\n",
       "        4.99228512e-01, 4.98116376e-01, 4.90655256e-01, 4.90579832e-01,\n",
       "        4.99172731e-01, 4.98183607e-01, 5.12669789e-01, 4.97964021e-01,\n",
       "        4.91861747e-01, 4.86486763e-01, 4.87105525e-01, 4.88495091e-01,\n",
       "...\n",
       "        4.97964957e-01, 5.03357225e-01, 5.00931365e-01, 4.97387203e-01,\n",
       "        5.01234038e-01, 4.83886567e-01, 4.87843031e-01, 4.85977552e-01,\n",
       "        4.87862881e-01, 4.84965546e-01, 4.84786227e-01, 5.00523883e-01,\n",
       "        4.86917065e-01, 4.91552437e-01, 4.88715759e-01, 4.89015086e-01,\n",
       "        4.92123668e-01, 5.07491040e-01, 4.92705985e-01, 5.07398463e-01,\n",
       "        4.86610733e-01, 5.00826190e-01, 4.93500947e-01, 4.89747179e-01,\n",
       "        5.10673462e-01, 4.90595426e-01, 5.07298654e-01, 5.06618456e-01,\n",
       "        5.06418686e-01, 5.02406970e-01, 4.99677187e-01, 4.96059672e-01,\n",
       "        4.97524332e-01, 4.98668705e-01, 5.01675784e-01, 4.97995734e-01,\n",
       "        4.87123796e-01, 4.82015881e-01, 4.75579961e-01, 5.11484056e-01,\n",
       "        4.88519063e-01, 4.82803949e-01, 4.86742973e-01, 4.99826551e-01,\n",
       "        4.97916231e-01, 4.96390545e-01, 4.81210469e-01, 4.90398815e-01,\n",
       "        4.89374841e-01, 4.96152732e-01, 5.00817782e-01, 5.01355916e-01,\n",
       "        4.89107168e-01, 4.95508150e-01, 4.91220542e-01, 4.86177348e-01,\n",
       "        4.97312033e-01, 4.96200810e-01, 4.94585296e-01, 4.92395068e-01,\n",
       "        4.89095267e-01, 5.05053654e-01, 4.98405819e-01, 4.91637396e-01,\n",
       "        5.07625336e-01, 4.93906688e-01, 4.88157547e-01, 4.86504487e-01,\n",
       "        4.84209395e-01, 4.82987617e-01, 4.80716510e-01, 5.19007510e-01,\n",
       "        4.93094649e-01, 4.92558198e-01, 4.89358382e-01, 4.92737821e-01,\n",
       "        4.90062214e-01, 4.89052931e-01, 4.84658929e-01, 4.80630010e-01]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>t_subj.3</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.433 1.633 1.154 ... 0.465 0.4991</div><input id='attrs-033205dc-a884-4b8d-a060-5bb4d6021be8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-033205dc-a884-4b8d-a060-5bb4d6021be8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e81d35da-0eff-4366-b5a7-aacbfdfc181b' class='xr-var-data-in' type='checkbox'><label for='data-e81d35da-0eff-4366-b5a7-aacbfdfc181b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[2.43340186, 1.63315019, 1.15377775, 0.21705837, 0.55288394,\n",
       "        0.5335    , 0.53255537, 0.55036945, 0.5880528 , 0.579681  ,\n",
       "        0.59316106, 0.56890077, 0.56597102, 0.56843314, 0.60605586,\n",
       "        0.61328437, 0.61246247, 0.57833792, 0.57138845, 0.57350719,\n",
       "        0.56562758, 0.55208778, 0.52901076, 0.52268088, 0.5269734 ,\n",
       "        0.54302365, 0.59701925, 0.57110408, 0.59136647, 0.59302127,\n",
       "        0.58967554, 0.55678058, 0.55721388, 0.58929971, 0.59533346,\n",
       "        0.58035032, 0.5253176 , 0.49155862, 0.57183568, 0.56488062,\n",
       "        0.5443484 , 0.54490354, 0.64303589, 0.65499091, 0.57501464,\n",
       "        0.59005562, 0.57995217, 0.59862822, 0.59518468, 0.60153322,\n",
       "        0.54675397, 0.55509522, 0.53113219, 0.51511048, 0.56031572,\n",
       "        0.55324259, 0.55624969, 0.60778609, 0.53208433, 0.53346522,\n",
       "        0.53590745, 0.55634789, 0.52926183, 0.51316752, 0.51385396,\n",
       "        0.61673075, 0.58969854, 0.57132036, 0.55584558, 0.58927323,\n",
       "        0.52904197, 0.52061731, 0.53670638, 0.56976745, 0.5637953 ,\n",
       "        0.53592469, 0.54541333, 0.46209631, 0.54686449, 0.54565995,\n",
       "        0.56326352, 0.55081087, 0.56235602, 0.59010169, 0.50507887,\n",
       "        0.52280463, 0.51129514, 0.53685578, 0.54581256, 0.57936168,\n",
       "        0.53294429, 0.49701958, 0.48142252, 0.50823628, 0.51508265,\n",
       "        0.55060298, 0.5497339 , 0.53762037, 0.47480763, 0.50432353,\n",
       "...\n",
       "        0.57791906, 0.54789356, 0.57595606, 0.60230034, 0.56043489,\n",
       "        0.57389526, 0.57383713, 0.57087188, 0.57917602, 0.58993902,\n",
       "        0.57828833, 0.53769679, 0.56282918, 0.52298818, 0.49993908,\n",
       "        0.54861137, 0.58965575, 0.62089492, 0.57533174, 0.56977895,\n",
       "        0.54326148, 0.53604511, 0.61104892, 0.5593153 , 0.52608199,\n",
       "        0.47464349, 0.50169213, 0.5671251 , 0.56679783, 0.57989486,\n",
       "        0.56475949, 0.56192392, 0.55528429, 0.55632026, 0.51940595,\n",
       "        0.59815817, 0.55927329, 0.56801103, 0.56330584, 0.53674357,\n",
       "        0.55192787, 0.57600619, 0.60935082, 0.54784307, 0.59502382,\n",
       "        0.60158124, 0.57798196, 0.50524817, 0.47074465, 0.46857733,\n",
       "        0.47205466, 0.51299366, 0.50939726, 0.53206048, 0.54354581,\n",
       "        0.4910814 , 0.52690549, 0.5588919 , 0.50964075, 0.5230668 ,\n",
       "        0.57613939, 0.55452534, 0.54470883, 0.54682607, 0.57668254,\n",
       "        0.51340621, 0.53873863, 0.52943518, 0.55509022, 0.51461419,\n",
       "        0.51273797, 0.54568151, 0.48985563, 0.54051028, 0.53732614,\n",
       "        0.56660587, 0.53725802, 0.54019176, 0.53963711, 0.51208745,\n",
       "        0.55067611, 0.4967032 , 0.51518453, 0.48987766, 0.56207095,\n",
       "        0.57651778, 0.54873128, 0.55574929, 0.55790103, 0.56596525,\n",
       "        0.59314426, 0.59715952, 0.59785355, 0.57727823, 0.60786488,\n",
       "        0.60512501, 0.53755489, 0.5110897 , 0.46502368, 0.49906641]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>t_subj.4</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.2178 0.4146 ... 0.347 0.3515</div><input id='attrs-6b902ee9-dad0-4e4f-81a3-f5ec2a145b02' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6b902ee9-dad0-4e4f-81a3-f5ec2a145b02' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-198f833c-7a34-4112-83ab-3d461f41e9b9' class='xr-var-data-in' type='checkbox'><label for='data-198f833c-7a34-4112-83ab-3d461f41e9b9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.2178344 , 0.41464828, 0.38475682, 0.34399142, 0.32869988,\n",
       "        0.35319695, 0.34865786, 0.35141054, 0.33296888, 0.3388247 ,\n",
       "        0.34168   , 0.3422778 , 0.33967827, 0.33324675, 0.3496036 ,\n",
       "        0.34862823, 0.3452841 , 0.32783348, 0.33257515, 0.33664912,\n",
       "        0.33351618, 0.35210421, 0.35221891, 0.35828195, 0.35715664,\n",
       "        0.34280206, 0.33239158, 0.3342685 , 0.33576843, 0.34186451,\n",
       "        0.34659607, 0.35426829, 0.35001533, 0.35228903, 0.35025569,\n",
       "        0.34793916, 0.35054284, 0.34305816, 0.34302444, 0.35356856,\n",
       "        0.33577808, 0.35527514, 0.35680737, 0.36437193, 0.36215274,\n",
       "        0.35268939, 0.32313132, 0.33684085, 0.33413451, 0.35949218,\n",
       "        0.35757334, 0.34178588, 0.34318571, 0.34063748, 0.34691175,\n",
       "        0.35034177, 0.34378047, 0.33878019, 0.34384503, 0.33566697,\n",
       "        0.33817808, 0.34973126, 0.34012816, 0.33790073, 0.34894292,\n",
       "        0.34050449, 0.33551799, 0.33466469, 0.33415603, 0.33525064,\n",
       "        0.33276423, 0.34995819, 0.34914773, 0.3509164 , 0.35621896,\n",
       "        0.35869724, 0.35123733, 0.34660136, 0.33962614, 0.34015243,\n",
       "        0.34429153, 0.34431262, 0.35050879, 0.34871311, 0.34437227,\n",
       "        0.33461233, 0.3377593 , 0.3308288 , 0.33287894, 0.33972558,\n",
       "        0.34966426, 0.34544936, 0.34388797, 0.34145704, 0.34543169,\n",
       "        0.34367736, 0.3332562 , 0.33957951, 0.33909881, 0.33524583,\n",
       "...\n",
       "        0.34550496, 0.35684801, 0.35381641, 0.34852053, 0.34537892,\n",
       "        0.35042865, 0.35619988, 0.34002056, 0.34059699, 0.34406174,\n",
       "        0.36036357, 0.35196678, 0.35232454, 0.34125713, 0.34704966,\n",
       "        0.34933514, 0.3388308 , 0.33945895, 0.34042906, 0.33905811,\n",
       "        0.3322048 , 0.33155399, 0.34399999, 0.34810518, 0.34831157,\n",
       "        0.35256114, 0.34920582, 0.34861043, 0.33987095, 0.35166734,\n",
       "        0.34561118, 0.34348339, 0.34372545, 0.34330554, 0.33791333,\n",
       "        0.33177039, 0.32527186, 0.31939519, 0.33474588, 0.34978295,\n",
       "        0.34179068, 0.30692854, 0.34095348, 0.34319379, 0.35294655,\n",
       "        0.3513068 , 0.3516839 , 0.35323819, 0.34748754, 0.35315004,\n",
       "        0.34169243, 0.34398799, 0.33550506, 0.34220292, 0.34504747,\n",
       "        0.33441448, 0.33437906, 0.33630436, 0.34813579, 0.3497052 ,\n",
       "        0.34795113, 0.33137522, 0.34128197, 0.35181323, 0.3531182 ,\n",
       "        0.35565559, 0.35370159, 0.35035217, 0.3422169 , 0.35371385,\n",
       "        0.35162052, 0.3528577 , 0.34880831, 0.32967638, 0.34031386,\n",
       "        0.3257146 , 0.34708695, 0.34766702, 0.34452188, 0.34617495,\n",
       "        0.35634688, 0.35688625, 0.34672873, 0.35118839, 0.34872077,\n",
       "        0.33100277, 0.35295911, 0.35048136, 0.34782747, 0.35887963,\n",
       "        0.34976516, 0.35229021, 0.35405376, 0.35117392, 0.35224718,\n",
       "        0.35125927, 0.34490244, 0.34691419, 0.34700091, 0.35151397]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>z</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.4749 0.5326 ... 0.4981 0.4887</div><input id='attrs-79395a04-b09e-4310-826e-65966e2537d4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-79395a04-b09e-4310-826e-65966e2537d4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dd0bbc7a-b28c-4c4a-96d9-e8827ee86b40' class='xr-var-data-in' type='checkbox'><label for='data-dd0bbc7a-b28c-4c4a-96d9-e8827ee86b40' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.47489002, 0.53264853, 0.55862263, 0.56784834, 0.55573645,\n",
       "        0.53501134, 0.58143409, 0.56602261, 0.55128267, 0.56706345,\n",
       "        0.51221708, 0.52982215, 0.56129747, 0.54328883, 0.50865454,\n",
       "        0.55617625, 0.57185949, 0.55671549, 0.56982167, 0.54073813,\n",
       "        0.56632293, 0.56100646, 0.54040625, 0.58148038, 0.54872324,\n",
       "        0.56431996, 0.52552464, 0.5240574 , 0.52990242, 0.51251143,\n",
       "        0.48274461, 0.50353765, 0.50364455, 0.50506284, 0.51435792,\n",
       "        0.52854628, 0.51474041, 0.53405304, 0.50992838, 0.53412075,\n",
       "        0.53594977, 0.517762  , 0.51117595, 0.5222862 , 0.50582794,\n",
       "        0.52051682, 0.51735535, 0.52136539, 0.5512519 , 0.51109878,\n",
       "        0.49607918, 0.47577976, 0.49272037, 0.45901334, 0.47261326,\n",
       "        0.47344639, 0.47047923, 0.47281697, 0.47702231, 0.48675793,\n",
       "        0.45863242, 0.51038331, 0.49074798, 0.51442815, 0.49082435,\n",
       "        0.4931214 , 0.46771204, 0.47359354, 0.45402283, 0.46746585,\n",
       "        0.47659953, 0.49843543, 0.49602937, 0.49684523, 0.48653064,\n",
       "        0.49312678, 0.48791718, 0.50325647, 0.49543372, 0.49346928,\n",
       "        0.49636402, 0.49164496, 0.48553529, 0.49306158, 0.48977563,\n",
       "        0.48663205, 0.48432108, 0.48939781, 0.49354617, 0.48883979,\n",
       "        0.49075794, 0.48607707, 0.48779089, 0.48435461, 0.4901221 ,\n",
       "        0.48615736, 0.50114188, 0.50198557, 0.48759265, 0.47973615,\n",
       "...\n",
       "        0.49866232, 0.50058617, 0.50463731, 0.4960554 , 0.48431848,\n",
       "        0.47806267, 0.48080242, 0.48184452, 0.4835815 , 0.48413764,\n",
       "        0.48488449, 0.48817135, 0.48608982, 0.48620269, 0.4978589 ,\n",
       "        0.49885019, 0.48746591, 0.49682248, 0.48398899, 0.48339676,\n",
       "        0.49363582, 0.49728607, 0.48939516, 0.48485798, 0.48349242,\n",
       "        0.48498726, 0.47668404, 0.47990774, 0.48339012, 0.48342946,\n",
       "        0.49049973, 0.48866112, 0.48259462, 0.49109562, 0.48485055,\n",
       "        0.48738516, 0.48847588, 0.48400733, 0.4884016 , 0.47246576,\n",
       "        0.47735449, 0.4710981 , 0.46335419, 0.4778376 , 0.47998441,\n",
       "        0.49472348, 0.49045938, 0.48333011, 0.4877976 , 0.48569489,\n",
       "        0.47755022, 0.46772051, 0.480124  , 0.47625053, 0.48273511,\n",
       "        0.47888408, 0.4869506 , 0.47611749, 0.47824344, 0.47941505,\n",
       "        0.48489857, 0.48838846, 0.48886584, 0.48648391, 0.4806086 ,\n",
       "        0.481226  , 0.48041804, 0.48238718, 0.47863845, 0.47884824,\n",
       "        0.47381707, 0.46979082, 0.47454544, 0.48456122, 0.48769522,\n",
       "        0.48931818, 0.48839468, 0.48786069, 0.48990619, 0.48997718,\n",
       "        0.48897227, 0.48884063, 0.48913857, 0.49002525, 0.48983513,\n",
       "        0.48875817, 0.48823771, 0.48780055, 0.48901573, 0.48766455,\n",
       "        0.48843054, 0.48880397, 0.48756797, 0.48795656, 0.48815486,\n",
       "        0.494198  , 0.49690024, 0.49945682, 0.49809429, 0.48874658]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>z_std</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.1108 0.4292 ... 0.03692 0.06426</div><input id='attrs-a97af685-53e7-47c4-9b83-cd25974f80d3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a97af685-53e7-47c4-9b83-cd25974f80d3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6260e23d-6450-4177-aa1c-b2d7a85758c7' class='xr-var-data-in' type='checkbox'><label for='data-6260e23d-6450-4177-aa1c-b2d7a85758c7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[1.10845733e-01, 4.29157678e-01, 2.55530060e-01, 1.77685301e-01,\n",
       "        2.46943379e-01, 2.05545313e-01, 2.25582916e-01, 2.29585200e-01,\n",
       "        2.34555814e-01, 2.31996156e-01, 2.63541579e-01, 2.10563970e-01,\n",
       "        2.55007457e-01, 2.73319282e-01, 1.60058498e-01, 2.24802646e-01,\n",
       "        2.10646895e-01, 2.06705456e-01, 2.04987422e-01, 2.04845508e-01,\n",
       "        2.14677775e-01, 2.12770846e-01, 1.76285989e-01, 1.74443833e-01,\n",
       "        1.91155028e-01, 1.62781299e-01, 1.57932105e-01, 1.74894061e-01,\n",
       "        1.77792865e-01, 1.53026626e-01, 1.91796722e-01, 1.44699000e-01,\n",
       "        1.22971882e-01, 8.64378123e-02, 9.21958028e-02, 8.85106702e-02,\n",
       "        1.63924592e-01, 1.55031940e-01, 1.10117451e-01, 1.08982902e-01,\n",
       "        1.32698203e-01, 1.32651759e-01, 1.25323163e-01, 9.73982012e-02,\n",
       "        9.47599858e-02, 9.85865502e-02, 8.68276922e-02, 1.14007813e-01,\n",
       "        1.22025655e-01, 8.17932781e-02, 8.39552742e-02, 6.74626243e-02,\n",
       "        8.00035935e-02, 7.77375251e-02, 4.47642288e-02, 2.83395833e-02,\n",
       "        2.48582686e-02, 2.48333627e-02, 6.92761203e-02, 1.66719524e-01,\n",
       "        1.61968780e-01, 1.51382965e-01, 9.23961845e-02, 1.17427535e-01,\n",
       "        1.38602013e-01, 1.28371873e-01, 9.44076013e-02, 1.17244316e-01,\n",
       "        1.06755063e-01, 6.15554867e-02, 5.40588252e-02, 7.64147262e-02,\n",
       "        4.92020264e-02, 4.71251383e-02, 4.76012656e-02, 3.58734864e-02,\n",
       "        7.79061218e-02, 4.51894135e-02, 5.06132932e-02, 6.34650973e-02,\n",
       "...\n",
       "        4.42856424e-02, 4.52144133e-02, 5.08184070e-02, 3.20636303e-02,\n",
       "        6.58288210e-02, 5.34768658e-02, 4.34983475e-02, 4.00409702e-02,\n",
       "        3.90104344e-02, 3.28516024e-02, 3.94041263e-02, 4.19531590e-02,\n",
       "        2.85525464e-02, 3.34390529e-02, 3.96585790e-02, 4.45786527e-02,\n",
       "        4.18646604e-02, 5.61188417e-02, 5.29817864e-02, 4.04162695e-02,\n",
       "        4.20701318e-02, 4.72636935e-02, 3.72434943e-02, 4.16024251e-02,\n",
       "        5.54880098e-02, 5.80110060e-02, 2.42834858e-02, 4.99766420e-02,\n",
       "        3.88836823e-02, 3.83404713e-02, 3.45671376e-02, 4.87489857e-02,\n",
       "        6.03362024e-02, 6.48859472e-02, 2.27196418e-02, 6.36828315e-02,\n",
       "        5.89572997e-02, 4.87992160e-02, 2.98044912e-02, 3.05722663e-02,\n",
       "        1.54195685e-02, 2.70622958e-02, 2.67386316e-02, 3.13152173e-02,\n",
       "        2.13150221e-02, 3.15309467e-02, 3.55480255e-02, 2.67084328e-02,\n",
       "        9.97153226e-03, 2.78270495e-02, 2.59047403e-02, 2.93780125e-02,\n",
       "        4.56848692e-02, 1.44825408e-02, 1.92060649e-02, 3.66608649e-02,\n",
       "        1.15099771e-02, 1.32525160e-02, 1.42525383e-02, 9.32174853e-03,\n",
       "        4.45435983e-03, 7.30053426e-03, 9.21180456e-03, 5.19323758e-03,\n",
       "        1.02440382e-02, 5.37585201e-03, 6.88443441e-03, 8.23449782e-03,\n",
       "        6.77321859e-03, 6.08564506e-03, 1.29314896e-02, 1.01723895e-02,\n",
       "        9.17098248e-03, 1.05216774e-02, 2.25049832e-02, 3.02748567e-02,\n",
       "        3.85825714e-02, 3.60132262e-02, 3.69152697e-02, 6.42587312e-02]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>z_subj.0</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.4959 0.4242 ... 0.4982 0.4974</div><input id='attrs-5c0710c3-2314-4446-ad41-6491571c5426' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5c0710c3-2314-4446-ad41-6491571c5426' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-888843a8-6145-4206-bf5f-52b84b3e1a8c' class='xr-var-data-in' type='checkbox'><label for='data-888843a8-6145-4206-bf5f-52b84b3e1a8c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.49586335, 0.42415525, 0.46051523, 0.51698474, 0.48692677,\n",
       "        0.48475516, 0.50524437, 0.51137933, 0.51175625, 0.50344125,\n",
       "        0.50154893, 0.51162161, 0.50291588, 0.48549505, 0.48834927,\n",
       "        0.48152542, 0.46845939, 0.49579413, 0.44664921, 0.5164636 ,\n",
       "        0.51131483, 0.52732649, 0.54088082, 0.53248396, 0.50461174,\n",
       "        0.53256376, 0.4995078 , 0.49780942, 0.49407062, 0.46185566,\n",
       "        0.47372894, 0.46741857, 0.48470986, 0.49415983, 0.48675366,\n",
       "        0.4772491 , 0.50250458, 0.48154231, 0.5141512 , 0.50909853,\n",
       "        0.5077767 , 0.51056955, 0.52100974, 0.522424  , 0.52540186,\n",
       "        0.49048175, 0.50338752, 0.49363438, 0.5350324 , 0.54724894,\n",
       "        0.49537369, 0.48587564, 0.49534477, 0.47801352, 0.46950572,\n",
       "        0.47603093, 0.46694043, 0.47373213, 0.48065135, 0.46652526,\n",
       "        0.46420046, 0.47042155, 0.47957605, 0.49057588, 0.48525985,\n",
       "        0.49721171, 0.51285216, 0.51075302, 0.45969317, 0.45797245,\n",
       "        0.46539565, 0.48732363, 0.48287929, 0.50779276, 0.49412999,\n",
       "        0.49208965, 0.4958422 , 0.50108113, 0.50597549, 0.49605447,\n",
       "        0.50062206, 0.49185158, 0.47572827, 0.48117821, 0.48356093,\n",
       "        0.48102657, 0.48950874, 0.4875486 , 0.49417742, 0.47880957,\n",
       "        0.49763804, 0.49689057, 0.4937056 , 0.48486699, 0.48861584,\n",
       "        0.48853585, 0.49142108, 0.50189501, 0.49516547, 0.48224733,\n",
       "...\n",
       "        0.4996825 , 0.50095984, 0.50944255, 0.48155075, 0.48187037,\n",
       "        0.48201909, 0.48287571, 0.48211428, 0.48257285, 0.4817218 ,\n",
       "        0.48395818, 0.48408722, 0.48612694, 0.48324378, 0.47586146,\n",
       "        0.48259256, 0.48538288, 0.48625622, 0.46477796, 0.49233728,\n",
       "        0.49380498, 0.50321712, 0.508187  , 0.48107677, 0.50042436,\n",
       "        0.46848206, 0.46760285, 0.47912362, 0.4865867 , 0.47367438,\n",
       "        0.48235505, 0.47194319, 0.48670517, 0.49826756, 0.48084171,\n",
       "        0.47732181, 0.47671428, 0.4688211 , 0.47457789, 0.47292597,\n",
       "        0.47217483, 0.4814263 , 0.46682237, 0.47270576, 0.4876913 ,\n",
       "        0.47873166, 0.50180134, 0.50110097, 0.49663387, 0.47484108,\n",
       "        0.47415481, 0.46756276, 0.47858979, 0.47045863, 0.47269392,\n",
       "        0.48785572, 0.48231157, 0.47674738, 0.47924844, 0.47929326,\n",
       "        0.48495219, 0.48898422, 0.48668834, 0.48457279, 0.48677607,\n",
       "        0.47489208, 0.47549604, 0.48089888, 0.48062395, 0.47883184,\n",
       "        0.47421811, 0.47332738, 0.46815356, 0.4852021 , 0.48808187,\n",
       "        0.49119854, 0.48214637, 0.49290419, 0.48885065, 0.48541305,\n",
       "        0.48855215, 0.48833666, 0.49074774, 0.48873816, 0.48929796,\n",
       "        0.49059677, 0.48712997, 0.48685056, 0.48904276, 0.48982004,\n",
       "        0.48925111, 0.48662572, 0.48676742, 0.4870747 , 0.48633609,\n",
       "        0.49768197, 0.50230465, 0.49549106, 0.49821786, 0.49742599]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>z_subj.1</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.4826 0.579 ... 0.4868 0.4779</div><input id='attrs-e1dd7639-b62a-4227-b00d-c8f3461520c9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e1dd7639-b62a-4227-b00d-c8f3461520c9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-77d404ed-021a-493f-914d-490fcdabef71' class='xr-var-data-in' type='checkbox'><label for='data-77d404ed-021a-493f-914d-490fcdabef71' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.48262686, 0.57903573, 0.59977242, 0.52449931, 0.52113511,\n",
       "        0.50052925, 0.52932175, 0.52776369, 0.49591672, 0.50536652,\n",
       "        0.50404839, 0.50192386, 0.49005983, 0.46517326, 0.50167548,\n",
       "        0.50573461, 0.52521308, 0.53480136, 0.49747232, 0.51820125,\n",
       "        0.51399116, 0.53188834, 0.51919902, 0.52083827, 0.51316061,\n",
       "        0.51610217, 0.52168259, 0.51619808, 0.4874469 , 0.48931185,\n",
       "        0.47659853, 0.49681866, 0.50331942, 0.52565672, 0.49715609,\n",
       "        0.54680732, 0.54401575, 0.51986168, 0.53099453, 0.50133514,\n",
       "        0.5049317 , 0.51152679, 0.51761392, 0.48903337, 0.47401012,\n",
       "        0.47260746, 0.49855703, 0.4987451 , 0.50860983, 0.53340924,\n",
       "        0.50407902, 0.45244732, 0.48223044, 0.47478595, 0.46571917,\n",
       "        0.47458366, 0.47833941, 0.46945063, 0.47501445, 0.48485575,\n",
       "        0.47823555, 0.47429256, 0.47162481, 0.50416229, 0.50502604,\n",
       "        0.48458119, 0.50702759, 0.49486779, 0.49281566, 0.47082175,\n",
       "        0.46463801, 0.50606209, 0.50123149, 0.51382963, 0.47819748,\n",
       "        0.47637336, 0.48153021, 0.49852584, 0.51539279, 0.49987523,\n",
       "        0.49102601, 0.49090275, 0.48897296, 0.48837489, 0.49101027,\n",
       "        0.48745852, 0.49834601, 0.48938754, 0.48706848, 0.49650221,\n",
       "        0.49739968, 0.4912665 , 0.48912886, 0.50293396, 0.47339236,\n",
       "        0.47557161, 0.51609434, 0.50185913, 0.49531656, 0.48694736,\n",
       "...\n",
       "        0.50255283, 0.51201806, 0.50441172, 0.4990051 , 0.48154714,\n",
       "        0.4825185 , 0.47900454, 0.4850775 , 0.48213149, 0.48187676,\n",
       "        0.4852868 , 0.4866153 , 0.48287069, 0.5168745 , 0.49692391,\n",
       "        0.50009564, 0.48805072, 0.47774332, 0.47897724, 0.48706789,\n",
       "        0.4869638 , 0.50094216, 0.49194181, 0.49526196, 0.49482309,\n",
       "        0.48138248, 0.48866325, 0.49210958, 0.50032068, 0.50311188,\n",
       "        0.5028917 , 0.49735319, 0.49922182, 0.50080032, 0.4771929 ,\n",
       "        0.50331297, 0.48306922, 0.48651821, 0.48399082, 0.46625704,\n",
       "        0.46229431, 0.47078714, 0.46410006, 0.50275937, 0.48447464,\n",
       "        0.49679339, 0.48426297, 0.49439116, 0.49147653, 0.49103119,\n",
       "        0.48286368, 0.4805291 , 0.49024651, 0.48582803, 0.4797509 ,\n",
       "        0.46683515, 0.46657942, 0.46814444, 0.48955894, 0.48258606,\n",
       "        0.48901038, 0.49018001, 0.49456809, 0.47643996, 0.48137732,\n",
       "        0.48254749, 0.48802148, 0.48375797, 0.47122003, 0.47316589,\n",
       "        0.46893478, 0.48018446, 0.48353952, 0.48172927, 0.49207985,\n",
       "        0.4887981 , 0.49289598, 0.49117736, 0.48816056, 0.48939278,\n",
       "        0.4891925 , 0.48758886, 0.49183198, 0.49021454, 0.49004413,\n",
       "        0.48714893, 0.49002417, 0.49018729, 0.48834329, 0.48635025,\n",
       "        0.48565026, 0.48955099, 0.48838929, 0.48800401, 0.49064385,\n",
       "        0.49411837, 0.4969849 , 0.50038916, 0.48679069, 0.47791911]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>z_subj.2</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.4315 0.7169 ... 0.4833 0.4873</div><input id='attrs-11085679-f47f-4d5e-81ec-23e8a313b3c8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-11085679-f47f-4d5e-81ec-23e8a313b3c8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-47a18d85-97cd-4289-8bd5-3432fd67ae8b' class='xr-var-data-in' type='checkbox'><label for='data-47a18d85-97cd-4289-8bd5-3432fd67ae8b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.43150233, 0.71687451, 0.72374613, 0.75192957, 0.74475326,\n",
       "        0.74643077, 0.76076537, 0.77051545, 0.7694684 , 0.77345253,\n",
       "        0.77349624, 0.76519386, 0.7640646 , 0.75801419, 0.72891833,\n",
       "        0.73412143, 0.73671617, 0.7391479 , 0.72375841, 0.69797409,\n",
       "        0.69800899, 0.69407338, 0.69705621, 0.69492278, 0.69506422,\n",
       "        0.70722917, 0.67312727, 0.65511943, 0.65528896, 0.61633388,\n",
       "        0.60930109, 0.58827969, 0.58667651, 0.57650914, 0.57618715,\n",
       "        0.58029294, 0.57624141, 0.58176186, 0.58446497, 0.62246797,\n",
       "        0.60861623, 0.61721301, 0.60928822, 0.59831245, 0.56481402,\n",
       "        0.55072477, 0.55311023, 0.54901012, 0.54715143, 0.54262531,\n",
       "        0.49984758, 0.48278174, 0.46522864, 0.46596522, 0.47155181,\n",
       "        0.49060616, 0.47249952, 0.46096904, 0.46710651, 0.41554765,\n",
       "        0.33551224, 0.42855625, 0.44044503, 0.45905818, 0.49567191,\n",
       "        0.50509561, 0.49438636, 0.46229882, 0.46927738, 0.45671513,\n",
       "        0.46779054, 0.4724589 , 0.4915956 , 0.49814383, 0.48231588,\n",
       "        0.48286284, 0.48813948, 0.48774595, 0.50048442, 0.4759158 ,\n",
       "        0.48708104, 0.49149763, 0.47595412, 0.49891333, 0.4903023 ,\n",
       "        0.48886702, 0.4816676 , 0.4866604 , 0.48032036, 0.49351527,\n",
       "        0.47469433, 0.47513753, 0.47619537, 0.48300886, 0.48972141,\n",
       "        0.48656194, 0.48679365, 0.4817298 , 0.47538657, 0.49148222,\n",
       "...\n",
       "        0.50227562, 0.51098264, 0.51178373, 0.48094767, 0.48277755,\n",
       "        0.48680113, 0.48327778, 0.4816728 , 0.48341072, 0.49161023,\n",
       "        0.48872049, 0.48717483, 0.48607471, 0.48486682, 0.49621569,\n",
       "        0.49404424, 0.49679125, 0.48254052, 0.47809378, 0.479028  ,\n",
       "        0.48180897, 0.49593494, 0.47972187, 0.47830597, 0.47779618,\n",
       "        0.47982845, 0.48076935, 0.484829  , 0.49302855, 0.4895695 ,\n",
       "        0.49545823, 0.48936681, 0.47836006, 0.48806371, 0.47429004,\n",
       "        0.48349866, 0.46680559, 0.50184501, 0.47815542, 0.47107639,\n",
       "        0.48750778, 0.46158608, 0.47798155, 0.46996411, 0.49951074,\n",
       "        0.50041929, 0.48148843, 0.48429117, 0.47476365, 0.47254859,\n",
       "        0.4724136 , 0.47864206, 0.46995507, 0.48294545, 0.48071659,\n",
       "        0.48120403, 0.48349977, 0.4734763 , 0.4730369 , 0.48259764,\n",
       "        0.48149886, 0.4959909 , 0.48067209, 0.48983856, 0.48036619,\n",
       "        0.48601129, 0.46902991, 0.47685345, 0.48200528, 0.48163411,\n",
       "        0.47436391, 0.47630201, 0.47919362, 0.49472274, 0.48404663,\n",
       "        0.49171489, 0.48868503, 0.48533291, 0.48686136, 0.49141501,\n",
       "        0.48703056, 0.48885219, 0.48698807, 0.4908869 , 0.48825992,\n",
       "        0.48791199, 0.48842617, 0.4874723 , 0.48691249, 0.48684717,\n",
       "        0.48398816, 0.48749421, 0.48620045, 0.48751626, 0.48969687,\n",
       "        0.48970695, 0.49367258, 0.49645885, 0.4833082 , 0.48726186]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>z_subj.3</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.4459 0.4155 ... 0.5145 0.5031</div><input id='attrs-37a0be5e-2710-46de-bc13-166de4f18a5d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-37a0be5e-2710-46de-bc13-166de4f18a5d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1abe6b01-8343-4b06-823a-0bb00a90aaee' class='xr-var-data-in' type='checkbox'><label for='data-1abe6b01-8343-4b06-823a-0bb00a90aaee' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.44594087, 0.41547502, 0.43862538, 0.46988554, 0.51365948,\n",
       "        0.51196459, 0.5129648 , 0.51377213, 0.55746897, 0.57061669,\n",
       "        0.57131742, 0.54185125, 0.54574621, 0.51028144, 0.54181872,\n",
       "        0.55202911, 0.55516819, 0.55949103, 0.54579277, 0.53007809,\n",
       "        0.54821248, 0.55887521, 0.55426435, 0.55479188, 0.52119029,\n",
       "        0.50470382, 0.48527242, 0.51235846, 0.56950945, 0.52960189,\n",
       "        0.53863791, 0.54333429, 0.52035081, 0.54402817, 0.52631758,\n",
       "        0.53030964, 0.51481607, 0.5274792 , 0.53242929, 0.53209875,\n",
       "        0.5384079 , 0.51491619, 0.5077689 , 0.51904697, 0.52139409,\n",
       "        0.54179557, 0.53361976, 0.54191756, 0.56285581, 0.52561827,\n",
       "        0.54831048, 0.49440801, 0.5037286 , 0.483161  , 0.48276144,\n",
       "        0.48221132, 0.47673873, 0.47695124, 0.48082271, 0.49850131,\n",
       "        0.49802334, 0.51444183, 0.51185116, 0.4971462 , 0.47725046,\n",
       "        0.48047714, 0.50811525, 0.50124678, 0.52522915, 0.51736938,\n",
       "        0.47408992, 0.47314439, 0.47713852, 0.49724452, 0.50934152,\n",
       "        0.50179384, 0.50630414, 0.49649225, 0.5036754 , 0.50872562,\n",
       "        0.50253217, 0.49871921, 0.50250515, 0.48914947, 0.49666493,\n",
       "        0.48986035, 0.48062257, 0.48821851, 0.50273108, 0.49993573,\n",
       "        0.48256857, 0.48680278, 0.48927195, 0.47882914, 0.48634837,\n",
       "        0.51694562, 0.50864739, 0.50073795, 0.5040657 , 0.50006906,\n",
       "...\n",
       "        0.50115281, 0.49441595, 0.49898891, 0.49681884, 0.47919833,\n",
       "        0.48107495, 0.48051011, 0.47970558, 0.48325992, 0.49454344,\n",
       "        0.48378875, 0.48242338, 0.47724596, 0.47475154, 0.49282331,\n",
       "        0.50368505, 0.50775391, 0.50777774, 0.49551486, 0.49815981,\n",
       "        0.50796654, 0.48580236, 0.47877694, 0.47489283, 0.47558475,\n",
       "        0.48666483, 0.50706133, 0.49028997, 0.47805195, 0.50114432,\n",
       "        0.49580551, 0.48560206, 0.48897112, 0.49270881, 0.49343672,\n",
       "        0.49351283, 0.49955197, 0.4951128 , 0.49748323, 0.47672879,\n",
       "        0.48293949, 0.48415734, 0.47461754, 0.492373  , 0.4873564 ,\n",
       "        0.49394631, 0.4936068 , 0.47419444, 0.48886972, 0.49221726,\n",
       "        0.49200358, 0.47006237, 0.49328722, 0.48197808, 0.49214825,\n",
       "        0.47180891, 0.50962506, 0.47649203, 0.47201752, 0.47493048,\n",
       "        0.48599419, 0.49312258, 0.4849144 , 0.48475761, 0.48515611,\n",
       "        0.48762208, 0.48135168, 0.48402159, 0.48116411, 0.48088468,\n",
       "        0.47988686, 0.48379876, 0.48097422, 0.48307786, 0.48432015,\n",
       "        0.48660349, 0.48701989, 0.4951538 , 0.48852783, 0.49060804,\n",
       "        0.49021231, 0.49098324, 0.48892744, 0.48912777, 0.48919499,\n",
       "        0.4864734 , 0.48953184, 0.4892139 , 0.48883064, 0.48879392,\n",
       "        0.49182421, 0.49242315, 0.48815018, 0.4896185 , 0.49720833,\n",
       "        0.50390636, 0.50569775, 0.50005483, 0.51446975, 0.50311166]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>z_subj.4</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.4233 0.4729 ... 0.511 0.4769</div><input id='attrs-4eee68e7-6335-40e0-9b3e-da71fc049dfe' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4eee68e7-6335-40e0-9b3e-da71fc049dfe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5e2e7063-9e28-4517-8f9d-0559a7f9b991' class='xr-var-data-in' type='checkbox'><label for='data-5e2e7063-9e28-4517-8f9d-0559a7f9b991' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.42328974, 0.47293225, 0.49178081, 0.4888649 , 0.49818488,\n",
       "        0.48673381, 0.47750361, 0.46976115, 0.45065991, 0.44866717,\n",
       "        0.46891084, 0.46697719, 0.45620762, 0.46623107, 0.4462905 ,\n",
       "        0.46400897, 0.47850729, 0.46477337, 0.4684469 , 0.4679727 ,\n",
       "        0.47683592, 0.51537465, 0.50062901, 0.51829014, 0.51480678,\n",
       "        0.44882545, 0.47528821, 0.48611409, 0.47577481, 0.46655946,\n",
       "        0.47867997, 0.4445337 , 0.50588109, 0.50362805, 0.46767892,\n",
       "        0.48302685, 0.46910923, 0.47832143, 0.470627  , 0.49350184,\n",
       "        0.49290723, 0.4871697 , 0.46965355, 0.48842163, 0.48870587,\n",
       "        0.47214428, 0.48740706, 0.47031153, 0.47588852, 0.48735089,\n",
       "        0.48106429, 0.46039385, 0.45619955, 0.47953181, 0.44999883,\n",
       "        0.45933086, 0.46203439, 0.47196854, 0.46501666, 0.49259803,\n",
       "        0.50123131, 0.46559171, 0.46782882, 0.50981717, 0.47820859,\n",
       "        0.47183413, 0.4564594 , 0.4549873 , 0.44004948, 0.45759112,\n",
       "        0.4593677 , 0.48335823, 0.5045152 , 0.48993959, 0.49724456,\n",
       "        0.49555705, 0.4723801 , 0.48036821, 0.48083443, 0.49579593,\n",
       "        0.48243945, 0.48464108, 0.4831668 , 0.48787038, 0.4863492 ,\n",
       "        0.48646847, 0.47813074, 0.48941506, 0.48864548, 0.47291497,\n",
       "        0.48631444, 0.48481418, 0.47915069, 0.47600695, 0.48705248,\n",
       "        0.48479742, 0.46337639, 0.48570399, 0.49578066, 0.47835624,\n",
       "...\n",
       "        0.49612778, 0.49808544, 0.50096727, 0.49222405, 0.48897469,\n",
       "        0.47367035, 0.47977234, 0.48162279, 0.48168292, 0.48574536,\n",
       "        0.48265232, 0.48051607, 0.48385035, 0.48548373, 0.48127388,\n",
       "        0.49772032, 0.47260106, 0.47297827, 0.47858615, 0.47377166,\n",
       "        0.48027439, 0.49723207, 0.49381425, 0.48198858, 0.48470828,\n",
       "        0.4930085 , 0.46320946, 0.47108721, 0.48411055, 0.47893509,\n",
       "        0.49355757, 0.47510052, 0.47432733, 0.48814404, 0.47647388,\n",
       "        0.47584339, 0.48974966, 0.48187041, 0.47061329, 0.4761987 ,\n",
       "        0.48494003, 0.46305745, 0.46742395, 0.46917632, 0.47710706,\n",
       "        0.48323415, 0.49857813, 0.47617933, 0.48451256, 0.4891175 ,\n",
       "        0.47408049, 0.46168286, 0.4729499 , 0.45851781, 0.47852529,\n",
       "        0.46326997, 0.48766613, 0.48140354, 0.47148114, 0.48608276,\n",
       "        0.4785584 , 0.48685074, 0.48164932, 0.49076048, 0.4847591 ,\n",
       "        0.46928431, 0.47105099, 0.47947198, 0.4779707 , 0.48001012,\n",
       "        0.48271188, 0.4717939 , 0.47681993, 0.4790705 , 0.48691656,\n",
       "        0.48547684, 0.48529671, 0.48686795, 0.4898544 , 0.48740125,\n",
       "        0.49027008, 0.49115385, 0.4891467 , 0.49093005, 0.48949085,\n",
       "        0.49004222, 0.49020947, 0.4865325 , 0.48811591, 0.48777313,\n",
       "        0.48670009, 0.49045516, 0.48513001, 0.48562513, 0.48646607,\n",
       "        0.48794954, 0.48801731, 0.49758977, 0.51098364, 0.47685415]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_Intercept</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.268 1.814 4.108 ... 1.049 0.7311</div><input id='attrs-b2eee15e-761c-4fba-b9db-1c0ae54781c8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b2eee15e-761c-4fba-b9db-1c0ae54781c8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-29975236-b881-469a-a1f0-5e72e7ce03a6' class='xr-var-data-in' type='checkbox'><label for='data-29975236-b881-469a-a1f0-5e72e7ce03a6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 5.26800652,  1.81441968,  4.10779749,  2.29469716,  0.58391326,\n",
       "         0.63228005,  0.94672102,  1.21057647,  1.24839265,  1.27977978,\n",
       "         1.38872779,  1.09135318,  1.80504083,  0.60525154,  1.53181   ,\n",
       "         0.98824522,  2.04684107,  2.20571761,  1.8784949 ,  1.1222825 ,\n",
       "         1.29235969,  1.01731563,  0.49666667,  0.76770112,  2.41019523,\n",
       "         0.22626421,  0.4213149 ,  1.58223636,  1.11561308,  1.60685783,\n",
       "         0.99248282,  0.61194759,  0.70510351,  2.27300647,  0.36776106,\n",
       "         1.40696913,  1.02378333,  0.53386196, -0.53482893,  1.35154782,\n",
       "         0.78266442,  0.85338141,  1.47401395,  1.74896804,  1.59695122,\n",
       "         0.78031574,  1.97754854,  2.22537766,  0.72738157,  1.25621653,\n",
       "         1.47918302,  2.23568137,  2.87106403,  2.13057967,  1.23989611,\n",
       "         1.73228421,  0.6543062 ,  0.97218308,  1.35384284,  1.14115286,\n",
       "         1.62536724,  1.10910208,  0.84794388,  1.00174345,  0.91892456,\n",
       "         1.30015191,  1.28043687,  0.77104447,  1.17366555,  1.03540449,\n",
       "         0.9463144 ,  0.77811118,  0.87942405,  1.06278388,  0.32009836,\n",
       "         1.59790403,  1.16872429,  0.26438015,  0.93772626,  0.86056683,\n",
       "         0.62765343,  0.86422734,  0.78368693,  0.91472589,  0.77795266,\n",
       "         0.8232761 ,  0.8389311 ,  0.7759657 ,  1.1577095 ,  0.4958679 ,\n",
       "         0.88840962,  0.9523272 ,  0.52707905,  0.48494124,  0.78478565,\n",
       "         0.99577461,  0.90977871,  0.59425977,  0.78252733,  0.75835907,\n",
       "...\n",
       "         0.54063332,  1.30858721,  0.95527917,  0.92572748,  0.87201963,\n",
       "         0.85319909,  0.90140511,  1.05976153,  0.74543836,  1.05517625,\n",
       "         1.23523857,  1.24220007,  1.04047676,  0.38498339,  0.96081207,\n",
       "         0.82873862,  0.81042774,  0.86640698,  0.72048224,  0.50224297,\n",
       "         0.728593  ,  1.16245327,  0.78483523,  1.01430877,  0.86885455,\n",
       "         0.73521156,  0.66763238,  0.74756343,  0.55316339,  0.19932149,\n",
       "         0.39948425,  0.19334776,  0.35852074,  0.23273496,  0.42452668,\n",
       "         0.49737594,  1.30078606,  1.01618565,  0.99905496,  0.70620449,\n",
       "         0.80623621,  0.60054851,  0.93314009,  0.90333286,  1.2395313 ,\n",
       "         0.63060548,  1.34264481,  0.08422586,  1.13870513,  1.70477675,\n",
       "         1.29060862,  0.0739387 ,  1.13072676,  0.87805752,  0.62954818,\n",
       "         0.86413543,  0.80667172,  0.82845969,  1.19295753,  0.83154922,\n",
       "         0.78388613,  0.61936167,  0.76048249,  1.21281904,  1.11193807,\n",
       "         1.04397539,  0.79650327,  0.88122338,  0.88933672,  0.60239492,\n",
       "         0.49209046,  0.76638283,  0.68844646,  1.05440891,  0.53814558,\n",
       "         0.91166208,  0.80334344,  0.99856051,  0.93415821,  1.08979781,\n",
       "         0.96983242,  0.60392043,  0.67792396,  0.51554084,  0.66416115,\n",
       "         0.72549301,  0.7903912 ,  0.78497445,  0.80100589,  0.68259885,\n",
       "         0.95105842,  1.0736994 ,  0.74730123,  0.82892305,  0.73423593,\n",
       "         0.75094676,  0.93265681,  0.19087345,  1.04945481,  0.73114938]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_Intercept_std</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>25.34 15.11 5.751 ... 0.6516 1.062</div><input id='attrs-f3219d5c-161f-4468-bc87-f2d5f8dd71b9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f3219d5c-161f-4468-bc87-f2d5f8dd71b9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-287e3a31-453d-4edd-b0d2-486fe45221f4' class='xr-var-data-in' type='checkbox'><label for='data-287e3a31-453d-4edd-b0d2-486fe45221f4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[25.33730214, 15.11480371,  5.75097506,  3.87715583,  2.15700242,\n",
       "         1.93588839,  0.77449129,  0.73027817,  0.73446098,  1.28184389,\n",
       "         1.10299902,  1.08910511,  1.13151605,  1.11985515,  1.99408617,\n",
       "         1.32552904,  1.70668656,  1.70004498,  1.00350439,  1.37642584,\n",
       "         1.32837971,  0.94816972,  1.0303464 ,  1.35290808,  1.52577754,\n",
       "         4.09880786,  1.925297  ,  1.38427722,  1.58199005,  1.56601481,\n",
       "         1.43293668,  1.00756702,  0.99552369,  1.45596272,  1.66074315,\n",
       "         1.80171592,  0.67115158,  1.20718639,  2.57017269,  1.01755146,\n",
       "         0.63557156,  1.36405132,  1.2143256 ,  0.87679883,  0.87916456,\n",
       "         1.23509365,  0.90580768,  1.88277727,  1.21679435,  1.60762978,\n",
       "         0.7459817 ,  0.93352673,  2.44975334,  1.75055749,  1.53134056,\n",
       "         1.66874976,  1.60149666,  1.28267729,  0.82147179,  1.94996009,\n",
       "         0.84720464,  0.7555653 ,  0.24406922,  0.36188486,  0.44862572,\n",
       "         0.46332762,  0.89961955,  0.4332994 ,  0.44773388,  0.41183275,\n",
       "         0.77531772,  0.1820235 ,  0.6633555 ,  0.68876693,  1.24162866,\n",
       "         1.34332468,  0.94958444,  0.65909983,  0.56036435,  0.29485894,\n",
       "         0.27433703,  0.32589213,  0.28539236,  0.40477842,  0.4711911 ,\n",
       "         0.25232138,  0.64472352,  0.42695676,  0.38812816,  1.12819837,\n",
       "         0.34094248,  0.42786098,  0.404736  ,  0.45511458,  0.45732165,\n",
       "         0.44379469,  0.60323494,  0.44924323,  0.44150619,  0.44731372,\n",
       "...\n",
       "         0.54236914,  0.58634976,  0.53079264,  0.27702443,  0.36958457,\n",
       "         0.62541087,  0.55084296,  0.44914358,  0.29530766,  0.7975854 ,\n",
       "         0.96432018,  0.92417702,  1.10738064,  0.46470547,  0.38321391,\n",
       "         0.47187332,  0.29123532,  0.46345692,  0.42500349,  0.3923703 ,\n",
       "         0.78713219,  0.51718048,  0.37958519,  0.4549623 ,  0.90183832,\n",
       "         1.63254341,  1.33521212,  1.17735613,  1.43218267,  0.45563858,\n",
       "         0.58642965,  0.73901825,  0.67679527,  0.54987973,  0.38823161,\n",
       "         0.7347332 ,  0.65616172,  0.44279397,  0.42195246,  0.3761369 ,\n",
       "         0.82440527,  0.43885852,  0.49690902,  0.45870146,  0.67053849,\n",
       "         0.72428479,  1.13936072,  1.11209504,  1.41266293,  1.11264271,\n",
       "         0.98407852,  0.84935547,  0.3912522 ,  0.43887588,  0.41603703,\n",
       "         0.43124714,  0.62513369,  0.81588243,  0.49728333,  0.41195717,\n",
       "         0.44875004,  0.47858734,  0.52781868,  0.63015376,  0.47889522,\n",
       "         0.51111665,  0.28183676,  0.37494926,  0.3642078 ,  0.38812567,\n",
       "         0.43549945,  0.41074673,  0.43662725,  0.34927265,  0.53124355,\n",
       "         0.29807936,  0.31168725,  0.2543741 ,  0.54503383,  0.67155966,\n",
       "         0.96100997,  0.32648185,  0.25614172,  0.51663597,  0.42308021,\n",
       "         0.27872177,  0.37891731,  0.24144845,  0.31920333,  0.50561164,\n",
       "         0.57710887,  0.51317774,  0.33778665,  0.36638293,  0.38605692,\n",
       "         0.28192414,  0.64829065,  0.72697438,  0.65158624,  1.06200191]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_Intercept_subj.0</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.531 0.9927 ... 0.3765 0.4039</div><input id='attrs-ace73290-c318-43bd-a084-4c67c426dabd' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ace73290-c318-43bd-a084-4c67c426dabd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d0858399-72db-4a81-ad6e-399595a5bd2b' class='xr-var-data-in' type='checkbox'><label for='data-d0858399-72db-4a81-ad6e-399595a5bd2b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[1.53050487, 0.99266669, 0.40746539, 0.3514624 , 0.12906807,\n",
       "        0.3366952 , 0.35540756, 0.29042439, 0.30412718, 0.29953202,\n",
       "        0.35513821, 0.33367628, 0.26891521, 0.29290494, 0.32606523,\n",
       "        0.41561064, 0.35297166, 0.39216671, 0.44706684, 0.46666162,\n",
       "        0.29031284, 0.32642284, 0.33136543, 0.30734037, 0.27213387,\n",
       "        0.23174239, 0.27609108, 0.39800837, 0.37781489, 0.50661223,\n",
       "        0.4976486 , 0.46053064, 0.48710114, 0.41326629, 0.29699138,\n",
       "        0.32925854, 0.35605703, 0.33546098, 0.22929252, 0.10676373,\n",
       "        0.16533914, 0.34953642, 0.18452894, 0.1708162 , 0.29709834,\n",
       "        0.39278127, 0.37853402, 0.34826444, 0.21077393, 0.23628015,\n",
       "        0.22156396, 0.31290323, 0.30388757, 0.39836223, 0.43159225,\n",
       "        0.41085177, 0.3869782 , 0.43249063, 0.3868381 , 0.50209473,\n",
       "        0.71648271, 0.66439936, 0.59084625, 0.52578334, 0.50741746,\n",
       "        0.59456708, 0.40006313, 0.43473815, 0.36778209, 0.58781409,\n",
       "        0.48101241, 0.35824144, 0.45059816, 0.28989643, 0.31029039,\n",
       "        0.35591134, 0.34648962, 0.33409028, 0.36574257, 0.28694212,\n",
       "        0.44357369, 0.48145149, 0.42798514, 0.45966887, 0.48324091,\n",
       "        0.36714392, 0.43973846, 0.42645165, 0.45549449, 0.41923218,\n",
       "        0.35974726, 0.44977251, 0.23258254, 0.39796906, 0.26876373,\n",
       "        0.43522844, 0.40608966, 0.3787254 , 0.24017389, 0.30507336,\n",
       "...\n",
       "        0.44815064, 0.45751845, 0.33606285, 0.41848251, 0.44738949,\n",
       "        0.38345633, 0.44101292, 0.38023967, 0.38841988, 0.36689622,\n",
       "        0.50113582, 0.36156836, 0.38174235, 0.46847868, 0.40505806,\n",
       "        0.4714368 , 0.45170282, 0.48146039, 0.42108936, 0.56733613,\n",
       "        0.45258942, 0.44349694, 0.54151098, 0.35158624, 0.30965186,\n",
       "        0.33961925, 0.39216173, 0.41765303, 0.41893698, 0.42948621,\n",
       "        0.4660303 , 0.36323897, 0.40707914, 0.29445986, 0.37151501,\n",
       "        0.38049686, 0.48571395, 0.43028421, 0.49028415, 0.43261696,\n",
       "        0.47298258, 0.43204241, 0.38858268, 0.44740569, 0.39660699,\n",
       "        0.43872566, 0.46604616, 0.31644773, 0.34247692, 0.33319008,\n",
       "        0.29160654, 0.36325452, 0.43569738, 0.44031099, 0.53637662,\n",
       "        0.3301968 , 0.38396977, 0.44265189, 0.35353325, 0.41064507,\n",
       "        0.46875049, 0.50523218, 0.44550699, 0.3795865 , 0.38581625,\n",
       "        0.48716869, 0.47939778, 0.41684368, 0.38851267, 0.35151177,\n",
       "        0.39323762, 0.4852559 , 0.485519  , 0.42876233, 0.35758774,\n",
       "        0.39620346, 0.29158013, 0.38202851, 0.47739238, 0.49927089,\n",
       "        0.37473437, 0.39172033, 0.39845826, 0.37116602, 0.37333528,\n",
       "        0.30241956, 0.39402354, 0.40392404, 0.45470778, 0.37276045,\n",
       "        0.35219452, 0.45866778, 0.41498259, 0.49796981, 0.47581206,\n",
       "        0.42561439, 0.44670844, 0.42147444, 0.37647544, 0.40394544]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_Intercept_subj.1</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.4553 0.4781 ... 1.027 1.059</div><input id='attrs-ce03230f-6107-42eb-8337-754e56089882' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ce03230f-6107-42eb-8337-754e56089882' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-49ba7db2-6459-4b33-be9c-bc40c94dc352' class='xr-var-data-in' type='checkbox'><label for='data-49ba7db2-6459-4b33-be9c-bc40c94dc352' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[0.45528669, 0.47809544, 0.68121053, 0.80808494, 0.82746457,\n",
       "        0.86257679, 0.86915116, 0.75352016, 0.86294069, 0.88004873,\n",
       "        0.96854273, 0.90498516, 0.84435569, 0.98573632, 0.99819778,\n",
       "        1.00041392, 0.9046325 , 1.01487335, 0.95518755, 0.90233116,\n",
       "        0.88482368, 0.87700209, 0.82343676, 0.84938845, 0.96206316,\n",
       "        0.86827714, 0.81448898, 0.83663486, 0.92159248, 0.97166156,\n",
       "        1.01702908, 1.00128758, 0.85501777, 0.79372691, 0.83423614,\n",
       "        0.77236312, 0.78575879, 0.69891697, 0.67244419, 0.8621241 ,\n",
       "        0.76350024, 0.77954707, 0.79083083, 0.83534154, 0.92279227,\n",
       "        1.00646384, 1.01002797, 0.9385299 , 0.87370115, 0.83579458,\n",
       "        0.79849476, 0.8190399 , 1.13311046, 0.95753036, 0.96659315,\n",
       "        0.95904707, 0.98196011, 0.92378665, 1.00742142, 1.02888415,\n",
       "        1.24039867, 1.20042581, 1.07718086, 1.07422519, 1.08752626,\n",
       "        1.022923  , 1.07069051, 0.99278533, 1.03176363, 1.05206577,\n",
       "        0.96645414, 0.91932299, 0.89501338, 0.87961767, 1.08522447,\n",
       "        1.0689563 , 1.07702729, 0.93964151, 1.05472336, 0.93476604,\n",
       "        0.96232181, 0.97774946, 0.91904765, 0.90473413, 0.87384013,\n",
       "        1.0581712 , 1.04542366, 0.93506489, 0.91983206, 0.94861662,\n",
       "        0.96074817, 0.91228469, 0.83020497, 0.85442741, 0.81893331,\n",
       "        1.001462  , 1.00713455, 0.96945444, 0.96361748, 0.96816813,\n",
       "...\n",
       "        1.1114648 , 1.06202991, 0.87357696, 0.88239201, 0.86536406,\n",
       "        0.88548528, 0.98032756, 0.98748019, 1.02376825, 0.94146169,\n",
       "        1.05147006, 1.02769652, 1.23369193, 0.88739281, 0.95956462,\n",
       "        1.09682594, 0.80886746, 1.162721  , 1.20120375, 1.01835712,\n",
       "        0.9908051 , 0.99405913, 1.10120085, 1.10652712, 0.85682877,\n",
       "        0.82665354, 0.90578261, 0.8636725 , 0.85521018, 0.73793766,\n",
       "        0.81308335, 0.72996287, 0.8549838 , 0.94585171, 0.91173499,\n",
       "        1.12331439, 0.90762484, 0.99830853, 1.03907562, 0.96175182,\n",
       "        0.99261535, 1.15363816, 1.14273466, 1.01786176, 1.00070648,\n",
       "        0.98760178, 1.02089709, 1.01690076, 0.85620717, 0.81827176,\n",
       "        0.9562119 , 0.99694388, 0.99151782, 0.95469915, 0.83893361,\n",
       "        1.08051444, 1.04732617, 1.11546167, 0.97974182, 0.95258961,\n",
       "        0.95858892, 0.95771137, 0.99644478, 0.92156502, 1.04893859,\n",
       "        1.15781655, 1.05915558, 0.8345087 , 1.10422264, 1.13090499,\n",
       "        1.03347649, 1.0224784 , 0.97118082, 0.98883135, 0.96639232,\n",
       "        0.91000514, 0.89298706, 0.93181779, 1.06108906, 1.06950914,\n",
       "        1.00739824, 0.99964594, 0.99207577, 0.99370898, 0.98002918,\n",
       "        0.96983896, 1.05112732, 0.99126708, 0.95360895, 0.99098058,\n",
       "        0.98068788, 1.07002206, 1.07906682, 0.85728271, 0.97031269,\n",
       "        0.89681564, 0.88271947, 0.97817249, 1.02736914, 1.05913942]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_Intercept_subj.2</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.243 1.589 1.835 ... 0.9668 0.8564</div><input id='attrs-8cfabb17-1826-48a6-a0a6-4ac5ef5a6e27' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8cfabb17-1826-48a6-a0a6-4ac5ef5a6e27' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-442747d8-f24c-4645-aa14-8de43eb2e847' class='xr-var-data-in' type='checkbox'><label for='data-442747d8-f24c-4645-aa14-8de43eb2e847' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[1.24288336, 1.58913231, 1.83453528, 2.21671177, 2.37569325,\n",
       "        2.66674405, 2.58840302, 2.77410579, 2.91948641, 2.98191831,\n",
       "        3.00827195, 3.15714113, 3.22039358, 3.15153524, 3.53805087,\n",
       "        3.2931165 , 3.24212546, 3.04814702, 2.96265168, 3.16059474,\n",
       "        3.14417414, 3.00645275, 3.08002344, 2.96041164, 3.03662039,\n",
       "        2.70877092, 2.97251078, 2.99547799, 2.94120063, 3.07562893,\n",
       "        3.07651356, 3.0766666 , 3.12702906, 3.2059831 , 3.19330858,\n",
       "        2.83068754, 2.86234834, 3.02433036, 2.94819817, 2.54140221,\n",
       "        2.64374226, 2.59755101, 2.66214353, 2.91731229, 3.02318554,\n",
       "        2.95710598, 2.89109335, 2.91779095, 2.87244969, 2.96842311,\n",
       "        3.06608122, 3.08904791, 3.04101755, 3.04822576, 3.05283904,\n",
       "        3.1259205 , 3.0746629 , 2.83086351, 2.37915446, 2.29672946,\n",
       "        1.46931992, 1.4236671 , 1.13840833, 1.07072382, 0.96135593,\n",
       "        1.0037724 , 0.95584411, 0.82206707, 0.96115321, 1.1125862 ,\n",
       "        0.89624954, 0.90443878, 0.76472084, 0.72930517, 0.85225333,\n",
       "        0.7795688 , 0.87711609, 0.97816391, 0.86578326, 0.88903391,\n",
       "        0.79684591, 0.82227336, 0.79350878, 0.77929679, 0.96730062,\n",
       "        0.84586407, 0.99275624, 0.9989083 , 0.77992831, 0.78467536,\n",
       "        0.97538701, 0.92084794, 0.87362681, 0.73210547, 0.83305691,\n",
       "        0.9009679 , 1.0569936 , 1.07974678, 1.1369009 , 1.0813986 ,\n",
       "...\n",
       "        0.97021983, 0.8041245 , 0.76259747, 0.84435018, 0.67103157,\n",
       "        0.90786783, 0.80133096, 0.87942948, 0.85585492, 0.83087768,\n",
       "        1.03186139, 0.89629241, 0.95035391, 0.94498136, 0.88282196,\n",
       "        0.86282566, 0.84954243, 0.8562357 , 1.01467823, 0.953962  ,\n",
       "        0.88637373, 1.00148321, 0.94460351, 0.88466392, 0.82195623,\n",
       "        0.85220638, 0.90000236, 0.87727345, 0.8127815 , 0.85892303,\n",
       "        0.87270782, 0.9348146 , 0.901435  , 0.8788815 , 0.89021742,\n",
       "        0.92590376, 0.86751308, 0.85872772, 0.80846109, 0.8300018 ,\n",
       "        0.86114643, 0.8751234 , 0.92538163, 0.85106157, 0.86902135,\n",
       "        0.78168799, 0.69509234, 0.95131423, 0.81019621, 0.69219571,\n",
       "        0.80338729, 0.82299598, 0.79408971, 0.93850308, 0.7901846 ,\n",
       "        1.00364464, 1.02155475, 0.96216387, 0.87999272, 0.92850262,\n",
       "        0.90275808, 0.86045883, 0.96534371, 0.99614566, 0.85468711,\n",
       "        0.92878322, 1.01800565, 0.79727385, 0.89621789, 0.76892642,\n",
       "        0.7097026 , 0.76050343, 0.80475613, 0.78095618, 0.67268369,\n",
       "        0.82347723, 0.97696565, 0.99620936, 0.9726563 , 0.98199833,\n",
       "        1.01830972, 0.81291313, 0.69982702, 0.73331135, 0.79629619,\n",
       "        0.84224512, 1.02188196, 0.81952318, 0.95025019, 0.87077855,\n",
       "        0.85927851, 0.8476773 , 0.8888136 , 0.90493601, 1.10145716,\n",
       "        1.0130079 , 1.04454816, 1.02273251, 0.96678143, 0.85635277]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_Intercept_subj.3</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.55 1.035 0.5508 ... 0.4314 0.4078</div><input id='attrs-436c1ce7-d010-4796-8e40-173b632cdf07' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-436c1ce7-d010-4796-8e40-173b632cdf07' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f8d3be10-27cc-4915-ba86-5985fec6d4e1' class='xr-var-data-in' type='checkbox'><label for='data-f8d3be10-27cc-4915-ba86-5985fec6d4e1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[1.55017058, 1.03501414, 0.55082528, 0.32509796, 0.30109964,\n",
       "        0.13739753, 0.30808702, 0.34191696, 0.34162219, 0.19026329,\n",
       "        0.24075195, 0.20137147, 0.33499023, 0.34562335, 0.28530992,\n",
       "        0.45401177, 0.30388564, 0.33651069, 0.35436634, 0.29967075,\n",
       "        0.31156296, 0.37045227, 0.35667971, 0.27229761, 0.37103318,\n",
       "        0.38056115, 0.52945359, 0.22339984, 0.29344252, 0.35106008,\n",
       "        0.33393304, 0.33774973, 0.28773314, 0.31164596, 0.32405978,\n",
       "        0.34366164, 0.34457016, 0.2227536 , 0.19354131, 0.24262259,\n",
       "        0.32809413, 0.35361472, 0.37931755, 0.35874005, 0.25040241,\n",
       "        0.2253101 , 0.24476889, 0.23420804, 0.26184281, 0.13891387,\n",
       "        0.26331323, 0.51338798, 0.43620537, 0.39115084, 0.33601202,\n",
       "        0.34055022, 0.38869622, 0.4644776 , 0.48435612, 0.54816075,\n",
       "        0.57861918, 0.57151286, 0.56522858, 0.57438314, 0.59264544,\n",
       "        0.55231333, 0.43971199, 0.32646735, 0.36862897, 0.40326719,\n",
       "        0.55185429, 0.59464451, 0.37638577, 0.30824625, 0.31906204,\n",
       "        0.42219534, 0.42669697, 0.45104584, 0.41546971, 0.41375062,\n",
       "        0.44854914, 0.44993453, 0.50502337, 0.45290778, 0.43914831,\n",
       "        0.4739152 , 0.43720019, 0.46730602, 0.45168517, 0.46634807,\n",
       "        0.43813375, 0.45061463, 0.39477456, 0.35118481, 0.35373707,\n",
       "        0.31578934, 0.42094535, 0.44702284, 0.43290804, 0.46668463,\n",
       "...\n",
       "        0.41459244, 0.36265318, 0.54077814, 0.46981359, 0.47426592,\n",
       "        0.45370509, 0.44591534, 0.45151516, 0.44059154, 0.45706268,\n",
       "        0.43933207, 0.34367703, 0.55351299, 0.46316494, 0.54294476,\n",
       "        0.35843288, 0.36435296, 0.48452729, 0.43922759, 0.50435169,\n",
       "        0.53453717, 0.56570156, 0.49997072, 0.427762  , 0.36123407,\n",
       "        0.36586673, 0.3941925 , 0.35270399, 0.32801019, 0.42130713,\n",
       "        0.3665378 , 0.41376152, 0.47119607, 0.42300426, 0.32826806,\n",
       "        0.42195829, 0.45526694, 0.48144684, 0.51670842, 0.4783303 ,\n",
       "        0.58865923, 0.29483334, 0.46158855, 0.42641142, 0.44288963,\n",
       "        0.44703507, 0.48554881, 0.44505642, 0.32145364, 0.36926087,\n",
       "        0.39905237, 0.42751176, 0.40889258, 0.48607736, 0.44872506,\n",
       "        0.40243871, 0.39493918, 0.54823928, 0.57874216, 0.41182086,\n",
       "        0.42995765, 0.46956777, 0.42405669, 0.48226417, 0.50579602,\n",
       "        0.51887469, 0.36000789, 0.43046949, 0.4339934 , 0.48559197,\n",
       "        0.2795559 , 0.38106533, 0.49589603, 0.51624413, 0.38024645,\n",
       "        0.36156939, 0.47822883, 0.47532685, 0.48530748, 0.44965308,\n",
       "        0.38674486, 0.39961825, 0.42328004, 0.46849955, 0.29880323,\n",
       "        0.50432855, 0.43309332, 0.52441525, 0.39695368, 0.39961825,\n",
       "        0.51743031, 0.49702595, 0.46801545, 0.44339374, 0.41873635,\n",
       "        0.45703478, 0.45027413, 0.4271917 , 0.43143916, 0.4077751 ]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_Intercept_subj.4</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.065 1.178 1.196 ... 1.261 1.436</div><input id='attrs-8fc064cc-f88b-4577-9869-4ffbac5e0968' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8fc064cc-f88b-4577-9869-4ffbac5e0968' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-62d72fe4-8c25-4c72-ad96-f8e9d7917352' class='xr-var-data-in' type='checkbox'><label for='data-62d72fe4-8c25-4c72-ad96-f8e9d7917352' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[1.06530764, 1.17779224, 1.19649044, 1.07781076, 1.23006851,\n",
       "        1.1774737 , 1.17954527, 1.15190004, 1.19581093, 1.37968464,\n",
       "        1.32586278, 1.28575127, 1.18929689, 1.19969075, 1.48775613,\n",
       "        1.46598206, 1.30619168, 1.25520998, 1.36798593, 1.392415  ,\n",
       "        1.39934174, 1.32866148, 1.35802721, 1.09975241, 1.13676334,\n",
       "        1.15327953, 1.19355995, 1.21061233, 1.24364791, 1.37223049,\n",
       "        1.47801165, 1.41368977, 1.33994599, 1.16523046, 1.24939767,\n",
       "        1.31510993, 1.39389561, 1.1044984 , 1.07337242, 1.06462073,\n",
       "        1.26496572, 1.13730527, 1.34628932, 1.17668572, 1.13282729,\n",
       "        1.21449447, 1.20916466, 1.36796252, 1.33398012, 1.29808053,\n",
       "        1.27152491, 1.30867459, 1.32034131, 1.39595051, 1.16014191,\n",
       "        1.35265203, 1.24357525, 1.27937368, 1.5712888 , 1.22660686,\n",
       "        1.25862204, 1.39854167, 1.3775962 , 1.33571479, 1.37369142,\n",
       "        1.53225899, 1.37542316, 1.29436812, 1.46786992, 1.56238888,\n",
       "        1.34763465, 1.33523374, 1.10172086, 1.07430849, 1.08566816,\n",
       "        0.98134678, 1.29624598, 1.43671219, 1.32746975, 1.27648386,\n",
       "        1.18927795, 1.27828648, 1.29960532, 1.32472234, 1.29904311,\n",
       "        1.23653863, 1.43360293, 1.20584128, 1.25712209, 1.18326773,\n",
       "        1.47368336, 1.39921036, 1.17790451, 1.29719791, 1.3310499 ,\n",
       "        1.33841112, 1.3291703 , 1.56088094, 1.29090473, 1.44153439,\n",
       "...\n",
       "        1.30966426, 1.3465665 , 1.24352589, 1.27310746, 1.22681442,\n",
       "        1.4300949 , 1.42428381, 1.44003585, 1.27649387, 1.22868857,\n",
       "        1.41990583, 1.40482913, 1.24900673, 1.31829319, 1.32872218,\n",
       "        1.30813123, 1.27420388, 1.30898232, 1.37947756, 1.43741847,\n",
       "        1.38519999, 1.35856928, 1.45797128, 1.2675612 , 1.29080956,\n",
       "        1.22921353, 1.35518475, 1.3588816 , 1.17556117, 1.31694483,\n",
       "        1.30149833, 1.33333415, 1.28898796, 1.3540197 , 1.21379841,\n",
       "        1.18916707, 1.2078387 , 1.44167551, 1.53038031, 1.21686268,\n",
       "        1.273496  , 1.20018288, 1.34456112, 1.25886571, 1.28289903,\n",
       "        1.25275162, 1.31069549, 1.40634372, 1.27834677, 1.28897416,\n",
       "        1.34082181, 1.30646327, 1.39421588, 1.42604668, 1.45504435,\n",
       "        1.24738076, 1.18188906, 1.27081439, 1.24403535, 1.38279301,\n",
       "        1.25846734, 1.33521014, 1.27973907, 1.1980192 , 1.42919399,\n",
       "        1.3547875 , 1.28653901, 1.2959296 , 1.2941967 , 1.22283331,\n",
       "        1.23451456, 1.36494327, 1.35888654, 1.28102441, 1.32956751,\n",
       "        1.25070554, 1.25165572, 1.20213177, 1.24666271, 1.34699234,\n",
       "        1.46022778, 1.14558566, 1.22596489, 1.08320539, 1.17827351,\n",
       "        1.22196745, 1.04832122, 1.37609978, 1.33238423, 1.42384545,\n",
       "        1.43558711, 1.20065493, 1.18954017, 1.31093539, 1.27208435,\n",
       "        1.14901928, 1.26967025, 1.26171988, 1.26141606, 1.43613044]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v_C(conf, Treatment(&quot;LC&quot;))[T.HC]</span></div><div class='xr-var-dims'>(chain, draw)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.18 -0.4041 ... -0.5533 -0.556</div><input id='attrs-61575cb7-c0fa-471c-a22d-8f1aa50f95a5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-61575cb7-c0fa-471c-a22d-8f1aa50f95a5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cacd6dbc-8e0d-43e2-aa89-e23a79d3e8bb' class='xr-var-data-in' type='checkbox'><label for='data-cacd6dbc-8e0d-43e2-aa89-e23a79d3e8bb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[ 0.17998585, -0.40409274, -0.37383746, -0.34960779, -0.183004  ,\n",
       "        -0.3341746 , -0.41648157, -0.35385148, -0.36470872, -0.40277635,\n",
       "        -0.48779157, -0.38392857, -0.39448036, -0.43803526, -0.45558878,\n",
       "        -0.49846135, -0.51463703, -0.53872115, -0.47627427, -0.48888937,\n",
       "        -0.44641846, -0.52299427, -0.43676918, -0.43204998, -0.44004377,\n",
       "        -0.41876302, -0.43542112, -0.40798089, -0.40526909, -0.47968305,\n",
       "        -0.46240424, -0.40513632, -0.41970488, -0.46526507, -0.4524421 ,\n",
       "        -0.35531468, -0.34619001, -0.27313142, -0.24633189, -0.2440917 ,\n",
       "        -0.31354869, -0.30696021, -0.38616255, -0.37609774, -0.44698732,\n",
       "        -0.41885305, -0.47534719, -0.3822108 , -0.40861067, -0.38127963,\n",
       "        -0.37362716, -0.42598063, -0.39087449, -0.34248677, -0.46010628,\n",
       "        -0.42699664, -0.43783803, -0.50739168, -0.53893066, -0.84460824,\n",
       "        -0.69802473, -0.67857279, -0.64594362, -0.71343861, -0.70900185,\n",
       "        -0.71196718, -0.4444097 , -0.43673464, -0.56469114, -0.62831773,\n",
       "        -0.48830923, -0.482723  , -0.37696162, -0.48129933, -0.41728482,\n",
       "        -0.49702346, -0.52161539, -0.53449605, -0.47512966, -0.49692449,\n",
       "        -0.51346231, -0.52624318, -0.50355527, -0.4970706 , -0.53572863,\n",
       "        -0.51783323, -0.52585624, -0.51885331, -0.45806351, -0.47174126,\n",
       "        -0.58541759, -0.38442429, -0.35695599, -0.32827111, -0.36324665,\n",
       "        -0.51681725, -0.50193196, -0.55213632, -0.55209379, -0.47606448,\n",
       "...\n",
       "        -0.63782465, -0.48928564, -0.43598248, -0.4675813 , -0.48997609,\n",
       "        -0.500208  , -0.49472306, -0.44103399, -0.51980302, -0.55709071,\n",
       "        -0.52278513, -0.52526282, -0.57693929, -0.54859356, -0.54398968,\n",
       "        -0.56545425, -0.52675818, -0.5280333 , -0.56056853, -0.54264789,\n",
       "        -0.60646242, -0.66847867, -0.6282677 , -0.44560437, -0.36207265,\n",
       "        -0.38096022, -0.37067978, -0.50572169, -0.32725706, -0.44756821,\n",
       "        -0.49089667, -0.47819237, -0.40036054, -0.44913272, -0.46233979,\n",
       "        -0.42240495, -0.48403588, -0.53713012, -0.54639775, -0.56045289,\n",
       "        -0.49353211, -0.49734401, -0.45671147, -0.52722207, -0.50984093,\n",
       "        -0.49931402, -0.53204744, -0.43995578, -0.42371643, -0.41810998,\n",
       "        -0.41658181, -0.44441555, -0.52126349, -0.46863859, -0.48622372,\n",
       "        -0.48797137, -0.49394239, -0.46623446, -0.49692937, -0.52834613,\n",
       "        -0.54006895, -0.54702014, -0.50221613, -0.52774048, -0.53826638,\n",
       "        -0.57248143, -0.4776262 , -0.43411329, -0.5358409 , -0.46881761,\n",
       "        -0.49422901, -0.49639138, -0.5611441 , -0.529223  , -0.41318466,\n",
       "        -0.37797191, -0.42981355, -0.55218435, -0.56850433, -0.55163793,\n",
       "        -0.4901328 , -0.48182828, -0.39137869, -0.40111363, -0.42143285,\n",
       "        -0.4618458 , -0.5498191 , -0.51416977, -0.51578302, -0.50735176,\n",
       "        -0.55659223, -0.4957387 , -0.50675632, -0.47128184, -0.50508423,\n",
       "        -0.54405176, -0.47496701, -0.57708714, -0.55327317, -0.55604409]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b9d7daa1-5fcd-4a86-a7bb-aa3c5ccb7b92' class='xr-section-summary-in' type='checkbox'  ><label for='section-b9d7daa1-5fcd-4a86-a7bb-aa3c5ccb7b92' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>chain</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-23fb2044-bd3c-41ae-b49c-c53e3665e839' class='xr-index-data-in' type='checkbox'/><label for='index-23fb2044-bd3c-41ae-b49c-c53e3665e839' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0, 1], dtype=&#x27;int64&#x27;, name=&#x27;chain&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>draw</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-155bea11-a14f-4793-a7f5-3ad5af750685' class='xr-index-data-in' type='checkbox'/><label for='index-155bea11-a14f-4793-a7f5-3ad5af750685' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  0,   1,   2,   3,   4,   5,   6,   7,   8,   9,\n",
       "       ...\n",
       "       490, 491, 492, 493, 494, 495, 496, 497, 498, 499],\n",
       "      dtype=&#x27;int64&#x27;, name=&#x27;draw&#x27;, length=500))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-fd668f89-d3cc-4375-98e7-f6e2879be05d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-fd668f89-d3cc-4375-98e7-f6e2879be05d' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div><br></div>\n",
       "                      </ul>\n",
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       "            \n",
       "            <li class = \"xr-section-item\">\n",
       "                  <input id=\"idata_posterior_predictive599e3ecd-8dfd-4cb0-9b12-c26f15f03f85\" class=\"xr-section-summary-in\" type=\"checkbox\">\n",
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       "                      <ul id=\"xr-dataset-coord-list\" class=\"xr-var-list\">\n",
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       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
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       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:   (chain: 2, draw: 500, obs_id: 1427)\n",
       "Coordinates:\n",
       "  * chain     (chain) int64 0 1\n",
       "  * draw      (draw) int64 0 1 2 3 4 5 6 7 8 ... 492 493 494 495 496 497 498 499\n",
       "  * obs_id    (obs_id) int64 0 1 2 3 4 5 6 ... 1421 1422 1423 1424 1425 1426\n",
       "    node      (chain, draw, obs_id) object &#x27;wfpt.0&#x27; &#x27;wfpt.0&#x27; ... &#x27;wfpt.4&#x27;\n",
       "    trial     (chain, draw, obs_id) int64 0 1 2 3 4 5 ... 278 279 280 281 282\n",
       "    subj_idx  (chain, draw, obs_id) int64 0 0 0 0 0 0 0 0 0 ... 4 4 4 4 4 4 4 4\n",
       "Data variables:\n",
       "    rt        (chain, draw, obs_id) float64 2.286 2.336 2.901 ... 0.6065 0.4495\n",
       "    response  (chain, draw, obs_id) int64 1 1 1 1 1 0 1 1 1 ... 1 1 1 1 1 1 1 1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-2730a5e4-0551-4a6c-a2cf-bb451767fb98' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2730a5e4-0551-4a6c-a2cf-bb451767fb98' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>chain</span>: 2</li><li><span class='xr-has-index'>draw</span>: 500</li><li><span class='xr-has-index'>obs_id</span>: 1427</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-c6bc4dae-5a4d-429e-b25d-15a800b03512' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c6bc4dae-5a4d-429e-b25d-15a800b03512' class='xr-section-summary' >Coordinates: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>chain</span></div><div class='xr-var-dims'>(chain)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1</div><input id='attrs-8a9b1a49-d8e1-41b2-9a2b-d6e75a03b152' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8a9b1a49-d8e1-41b2-9a2b-d6e75a03b152' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0ef93d50-db8b-496e-9876-7c4251cd58bf' class='xr-var-data-in' type='checkbox'><label for='data-0ef93d50-db8b-496e-9876-7c4251cd58bf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 1])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>draw</span></div><div class='xr-var-dims'>(draw)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 ... 495 496 497 498 499</div><input id='attrs-eb900b26-b717-4734-8068-85c0424d994f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-eb900b26-b717-4734-8068-85c0424d994f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-70f3ff3f-5b47-447f-bfc0-d5ad3c03f98a' class='xr-var-data-in' type='checkbox'><label for='data-70f3ff3f-5b47-447f-bfc0-d5ad3c03f98a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([  0,   1,   2, ..., 497, 498, 499])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>obs_id</span></div><div class='xr-var-dims'>(obs_id)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 ... 1423 1424 1425 1426</div><input id='attrs-e9035cdd-186f-4d06-a845-82fedc703072' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e9035cdd-186f-4d06-a845-82fedc703072' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-81e75216-02ab-4dee-8d0e-4974e5fa24a7' class='xr-var-data-in' type='checkbox'><label for='data-81e75216-02ab-4dee-8d0e-4974e5fa24a7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([   0,    1,    2, ..., 1424, 1425, 1426])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>node</span></div><div class='xr-var-dims'>(chain, draw, obs_id)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;wfpt.0&#x27; &#x27;wfpt.0&#x27; ... &#x27;wfpt.4&#x27;</div><input id='attrs-03e7322a-b4ce-424a-9e76-48eab60d53e3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-03e7322a-b4ce-424a-9e76-48eab60d53e3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-30c68c81-71e2-4d52-b733-9c05031953bf' class='xr-var-data-in' type='checkbox'><label for='data-30c68c81-71e2-4d52-b733-9c05031953bf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[&#x27;wfpt.0&#x27;, &#x27;wfpt.0&#x27;, &#x27;wfpt.0&#x27;, ..., &#x27;wfpt.4&#x27;, &#x27;wfpt.4&#x27;,\n",
       "         &#x27;wfpt.4&#x27;],\n",
       "        [&#x27;wfpt.0&#x27;, &#x27;wfpt.0&#x27;, &#x27;wfpt.0&#x27;, ..., &#x27;wfpt.4&#x27;, &#x27;wfpt.4&#x27;,\n",
       "         &#x27;wfpt.4&#x27;],\n",
       "        [&#x27;wfpt.0&#x27;, &#x27;wfpt.0&#x27;, &#x27;wfpt.0&#x27;, ..., &#x27;wfpt.4&#x27;, &#x27;wfpt.4&#x27;,\n",
       "         &#x27;wfpt.4&#x27;],\n",
       "        ...,\n",
       "        [&#x27;wfpt.0&#x27;, &#x27;wfpt.0&#x27;, &#x27;wfpt.0&#x27;, ..., &#x27;wfpt.4&#x27;, &#x27;wfpt.4&#x27;,\n",
       "         &#x27;wfpt.4&#x27;],\n",
       "        [&#x27;wfpt.0&#x27;, &#x27;wfpt.0&#x27;, &#x27;wfpt.0&#x27;, ..., &#x27;wfpt.4&#x27;, &#x27;wfpt.4&#x27;,\n",
       "         &#x27;wfpt.4&#x27;],\n",
       "        [&#x27;wfpt.0&#x27;, &#x27;wfpt.0&#x27;, &#x27;wfpt.0&#x27;, ..., &#x27;wfpt.4&#x27;, &#x27;wfpt.4&#x27;,\n",
       "         &#x27;wfpt.4&#x27;]],\n",
       "\n",
       "       [[&#x27;wfpt.0&#x27;, &#x27;wfpt.0&#x27;, &#x27;wfpt.0&#x27;, ..., &#x27;wfpt.4&#x27;, &#x27;wfpt.4&#x27;,\n",
       "         &#x27;wfpt.4&#x27;],\n",
       "        [&#x27;wfpt.0&#x27;, &#x27;wfpt.0&#x27;, &#x27;wfpt.0&#x27;, ..., &#x27;wfpt.4&#x27;, &#x27;wfpt.4&#x27;,\n",
       "         &#x27;wfpt.4&#x27;],\n",
       "        [&#x27;wfpt.0&#x27;, &#x27;wfpt.0&#x27;, &#x27;wfpt.0&#x27;, ..., &#x27;wfpt.4&#x27;, &#x27;wfpt.4&#x27;,\n",
       "         &#x27;wfpt.4&#x27;],\n",
       "        ...,\n",
       "        [&#x27;wfpt.0&#x27;, &#x27;wfpt.0&#x27;, &#x27;wfpt.0&#x27;, ..., &#x27;wfpt.4&#x27;, &#x27;wfpt.4&#x27;,\n",
       "         &#x27;wfpt.4&#x27;],\n",
       "        [&#x27;wfpt.0&#x27;, &#x27;wfpt.0&#x27;, &#x27;wfpt.0&#x27;, ..., &#x27;wfpt.4&#x27;, &#x27;wfpt.4&#x27;,\n",
       "         &#x27;wfpt.4&#x27;],\n",
       "        [&#x27;wfpt.0&#x27;, &#x27;wfpt.0&#x27;, &#x27;wfpt.0&#x27;, ..., &#x27;wfpt.4&#x27;, &#x27;wfpt.4&#x27;,\n",
       "         &#x27;wfpt.4&#x27;]]], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>trial</span></div><div class='xr-var-dims'>(chain, draw, obs_id)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 ... 278 279 280 281 282</div><input id='attrs-05ba351e-2877-4596-9fe2-9ab067cd21e7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-05ba351e-2877-4596-9fe2-9ab067cd21e7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-424b0a3e-5b65-400d-8244-441af35edcdd' class='xr-var-data-in' type='checkbox'><label for='data-424b0a3e-5b65-400d-8244-441af35edcdd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[  0,   1,   2, ..., 280, 281, 282],\n",
       "        [  0,   1,   2, ..., 280, 281, 282],\n",
       "        [  0,   1,   2, ..., 280, 281, 282],\n",
       "        ...,\n",
       "        [  0,   1,   2, ..., 280, 281, 282],\n",
       "        [  0,   1,   2, ..., 280, 281, 282],\n",
       "        [  0,   1,   2, ..., 280, 281, 282]],\n",
       "\n",
       "       [[  0,   1,   2, ..., 280, 281, 282],\n",
       "        [  0,   1,   2, ..., 280, 281, 282],\n",
       "        [  0,   1,   2, ..., 280, 281, 282],\n",
       "        ...,\n",
       "        [  0,   1,   2, ..., 280, 281, 282],\n",
       "        [  0,   1,   2, ..., 280, 281, 282],\n",
       "        [  0,   1,   2, ..., 280, 281, 282]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>subj_idx</span></div><div class='xr-var-dims'>(chain, draw, obs_id)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 0 0 0 0 0 0 0 ... 4 4 4 4 4 4 4 4</div><input id='attrs-f3c44ca3-a231-4bfc-8c84-1d21793122d6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f3c44ca3-a231-4bfc-8c84-1d21793122d6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cade7179-e941-43e7-bd77-c26746d1ce65' class='xr-var-data-in' type='checkbox'><label for='data-cade7179-e941-43e7-bd77-c26746d1ce65' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[0, 0, 0, ..., 4, 4, 4],\n",
       "        [0, 0, 0, ..., 4, 4, 4],\n",
       "        [0, 0, 0, ..., 4, 4, 4],\n",
       "        ...,\n",
       "        [0, 0, 0, ..., 4, 4, 4],\n",
       "        [0, 0, 0, ..., 4, 4, 4],\n",
       "        [0, 0, 0, ..., 4, 4, 4]],\n",
       "\n",
       "       [[0, 0, 0, ..., 4, 4, 4],\n",
       "        [0, 0, 0, ..., 4, 4, 4],\n",
       "        [0, 0, 0, ..., 4, 4, 4],\n",
       "        ...,\n",
       "        [0, 0, 0, ..., 4, 4, 4],\n",
       "        [0, 0, 0, ..., 4, 4, 4],\n",
       "        [0, 0, 0, ..., 4, 4, 4]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1fd8c737-ff2d-44e4-a5ae-c112c0d86af8' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1fd8c737-ff2d-44e4-a5ae-c112c0d86af8' class='xr-section-summary' >Data variables: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>rt</span></div><div class='xr-var-dims'>(chain, draw, obs_id)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.286 2.336 2.901 ... 0.6065 0.4495</div><input id='attrs-eefae6c7-18ac-4a45-a3d4-d6a6ce1fe113' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-eefae6c7-18ac-4a45-a3d4-d6a6ce1fe113' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f9d93bb6-e25c-41b9-8d3e-943095f98314' class='xr-var-data-in' type='checkbox'><label for='data-f9d93bb6-e25c-41b9-8d3e-943095f98314' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[ 2.28603959,  2.33603978,  2.9010334 , ...,  0.40083459,\n",
       "         -0.28283435,  0.38283455],\n",
       "        [ 1.68384814,  2.43283868,  2.98886395, ...,  0.48064825,\n",
       "          0.57764846, -0.51464832],\n",
       "        [ 1.66705811, -1.97605419,  1.69805765, ...,  1.21974969,\n",
       "          1.2767489 ,  0.56575704],\n",
       "        ...,\n",
       "        [ 0.85983336, -1.29782784, -1.09483039, ...,  0.40822536,\n",
       "          0.97822058,  0.46522546],\n",
       "        [ 0.86375928, -1.32475352, -1.09575653, ...,  1.68718719,\n",
       "          0.72917795,  0.48317975],\n",
       "        [ 0.90452492, -1.37851906, -1.13952208, ...,  0.79018545,\n",
       "          0.88518423,  1.93820632]],\n",
       "\n",
       "       [[ 4.22055292, -0.58867228,  3.5765996 , ...,  0.36449283,\n",
       "          3.55041933,  1.24749589],\n",
       "        [-1.45845258, -0.64545131, -3.03243423, ...,  0.30606359,\n",
       "          0.51306283,  0.89005798],\n",
       "        [-1.70086515, -0.61385918, -3.26283121, ...,  0.6853258 ,\n",
       "          0.5453276 ,  1.00632167],\n",
       "        ...,\n",
       "        [ 1.91193771,  0.98592412, -1.72992921, ...,  0.60191447,\n",
       "          0.44091421,  0.60491443],\n",
       "        [ 1.9760778 ,  1.03806436, -1.80406976, ...,  0.46100098,\n",
       "          0.78099889,  0.65700048],\n",
       "        [ 1.94766569,  0.98165333, -1.89266324, ...,  0.53551418,\n",
       "          0.60651422,  0.449514  ]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>response</span></div><div class='xr-var-dims'>(chain, draw, obs_id)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 1 1 1 1 0 1 1 ... 1 1 1 1 1 1 1 1</div><input id='attrs-eff61e31-45c4-4a33-8297-6736086b3471' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-eff61e31-45c4-4a33-8297-6736086b3471' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-20924f96-956b-4093-9a3c-77023987f944' class='xr-var-data-in' type='checkbox'><label for='data-20924f96-956b-4093-9a3c-77023987f944' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[1, 1, 1, ..., 1, 0, 1],\n",
       "        [1, 1, 1, ..., 1, 1, 0],\n",
       "        [1, 0, 1, ..., 1, 1, 1],\n",
       "        ...,\n",
       "        [1, 0, 0, ..., 1, 1, 1],\n",
       "        [1, 0, 0, ..., 1, 1, 1],\n",
       "        [1, 0, 0, ..., 1, 1, 1]],\n",
       "\n",
       "       [[1, 0, 1, ..., 1, 1, 1],\n",
       "        [0, 0, 0, ..., 1, 1, 1],\n",
       "        [0, 0, 0, ..., 1, 1, 1],\n",
       "        ...,\n",
       "        [1, 1, 0, ..., 1, 1, 1],\n",
       "        [1, 1, 0, ..., 1, 1, 1],\n",
       "        [1, 1, 0, ..., 1, 1, 1]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-423f3d8f-74ea-4c2e-999e-5e7460c181c4' class='xr-section-summary-in' type='checkbox'  ><label for='section-423f3d8f-74ea-4c2e-999e-5e7460c181c4' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>chain</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-7182a2bf-757f-4867-81ac-4dbd258c94c1' class='xr-index-data-in' type='checkbox'/><label for='index-7182a2bf-757f-4867-81ac-4dbd258c94c1' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0, 1], dtype=&#x27;int64&#x27;, name=&#x27;chain&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>draw</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-994abe2b-7ced-4402-95b2-d1530264a12b' class='xr-index-data-in' type='checkbox'/><label for='index-994abe2b-7ced-4402-95b2-d1530264a12b' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  0,   1,   2,   3,   4,   5,   6,   7,   8,   9,\n",
       "       ...\n",
       "       490, 491, 492, 493, 494, 495, 496, 497, 498, 499],\n",
       "      dtype=&#x27;int64&#x27;, name=&#x27;draw&#x27;, length=500))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>obs_id</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-8476e6d5-89d6-4dd1-942f-ca68c29e26ce' class='xr-index-data-in' type='checkbox'/><label for='index-8476e6d5-89d6-4dd1-942f-ca68c29e26ce' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([   0,    1,    2,    3,    4,    5,    6,    7,    8,    9,\n",
       "       ...\n",
       "       1417, 1418, 1419, 1420, 1421, 1422, 1423, 1424, 1425, 1426],\n",
       "      dtype=&#x27;int64&#x27;, name=&#x27;obs_id&#x27;, length=1427))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-bdb042ff-105a-41dc-a77a-8715ba5705af' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-bdb042ff-105a-41dc-a77a-8715ba5705af' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div><br></div>\n",
       "                      </ul>\n",
       "                  </div>\n",
       "            </li>\n",
       "            \n",
       "            <li class = \"xr-section-item\">\n",
       "                  <input id=\"idata_log_likelihood5051f439-7bbc-4d2e-88cf-22fbd0b0273d\" class=\"xr-section-summary-in\" type=\"checkbox\">\n",
       "                  <label for=\"idata_log_likelihood5051f439-7bbc-4d2e-88cf-22fbd0b0273d\" class = \"xr-section-summary\">log_likelihood</label>\n",
       "                  <div class=\"xr-section-inline-details\"></div>\n",
       "                  <div class=\"xr-section-details\">\n",
       "                      <ul id=\"xr-dataset-coord-list\" class=\"xr-var-list\">\n",
       "                          <div style=\"padding-left:2rem;\"><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
       "<defs>\n",
       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "</symbol>\n",
       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
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       "</svg>\n",
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       " *\n",
       " */\n",
       "\n",
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       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body[data-theme=dark],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
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       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
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       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
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       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
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       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
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       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
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       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
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       "\n",
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       "\n",
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       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
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       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\n",
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       "\n",
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       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
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       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
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       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
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       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:   (chain: 2, draw: 500, obs_id: 1427)\n",
       "Coordinates:\n",
       "  * chain     (chain) int64 0 1\n",
       "  * draw      (draw) int64 0 1 2 3 4 5 6 7 8 ... 492 493 494 495 496 497 498 499\n",
       "  * obs_id    (obs_id) int64 0 1 2 3 4 5 6 ... 1421 1422 1423 1424 1425 1426\n",
       "    node      (chain, draw, obs_id) object &#x27;wfpt.0&#x27; &#x27;wfpt.0&#x27; ... &#x27;wfpt.4&#x27;\n",
       "    trial     (chain, draw, obs_id) int64 0 1 2 3 4 5 ... 278 279 280 281 282\n",
       "    subj_idx  (chain, draw, obs_id) int64 0 0 0 0 0 0 0 0 0 ... 4 4 4 4 4 4 4 4\n",
       "Data variables:\n",
       "    log_lik   (chain, draw, obs_id) float64 -2.201 -2.201 ... -1.588 0.1551</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-14e1ddd3-fd2f-4d05-84d2-81c1040229a4' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-14e1ddd3-fd2f-4d05-84d2-81c1040229a4' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>chain</span>: 2</li><li><span class='xr-has-index'>draw</span>: 500</li><li><span class='xr-has-index'>obs_id</span>: 1427</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-0d60add6-b3c2-4b62-80c5-87db3536deb0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0d60add6-b3c2-4b62-80c5-87db3536deb0' class='xr-section-summary' >Coordinates: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>chain</span></div><div class='xr-var-dims'>(chain)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1</div><input id='attrs-de624be5-5b91-4022-a8c0-2cac03a72ce9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-de624be5-5b91-4022-a8c0-2cac03a72ce9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d947987e-1118-45c5-8a70-c6d8a4cd1d61' class='xr-var-data-in' type='checkbox'><label for='data-d947987e-1118-45c5-8a70-c6d8a4cd1d61' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 1])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>draw</span></div><div class='xr-var-dims'>(draw)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 ... 495 496 497 498 499</div><input id='attrs-e9ea3ede-dc1d-4ffc-a57f-ebb674e30dc3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e9ea3ede-dc1d-4ffc-a57f-ebb674e30dc3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5435682d-f35a-4f55-b938-cb41233871d3' class='xr-var-data-in' type='checkbox'><label for='data-5435682d-f35a-4f55-b938-cb41233871d3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([  0,   1,   2, ..., 497, 498, 499])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>obs_id</span></div><div class='xr-var-dims'>(obs_id)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 ... 1423 1424 1425 1426</div><input id='attrs-5301e03a-5ba3-46b1-ba67-8550c893ff35' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5301e03a-5ba3-46b1-ba67-8550c893ff35' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1659d370-8cbf-41cf-ae49-b035cfb6a6a9' class='xr-var-data-in' type='checkbox'><label for='data-1659d370-8cbf-41cf-ae49-b035cfb6a6a9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([   0,    1,    2, ..., 1424, 1425, 1426])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>node</span></div><div class='xr-var-dims'>(chain, draw, obs_id)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;wfpt.0&#x27; &#x27;wfpt.0&#x27; ... &#x27;wfpt.4&#x27;</div><input id='attrs-560229a3-37da-4a81-86e6-4359ba7beebe' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-560229a3-37da-4a81-86e6-4359ba7beebe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7f738698-02ed-452d-a92f-7af5e578d716' class='xr-var-data-in' type='checkbox'><label for='data-7f738698-02ed-452d-a92f-7af5e578d716' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[&#x27;wfpt.0&#x27;, &#x27;wfpt.0&#x27;, &#x27;wfpt.0&#x27;, ..., &#x27;wfpt.4&#x27;, &#x27;wfpt.4&#x27;,\n",
       "         &#x27;wfpt.4&#x27;],\n",
       "        [&#x27;wfpt.0&#x27;, &#x27;wfpt.0&#x27;, &#x27;wfpt.0&#x27;, ..., &#x27;wfpt.4&#x27;, &#x27;wfpt.4&#x27;,\n",
       "         &#x27;wfpt.4&#x27;],\n",
       "        [&#x27;wfpt.0&#x27;, &#x27;wfpt.0&#x27;, &#x27;wfpt.0&#x27;, ..., &#x27;wfpt.4&#x27;, &#x27;wfpt.4&#x27;,\n",
       "         &#x27;wfpt.4&#x27;],\n",
       "        ...,\n",
       "        [&#x27;wfpt.0&#x27;, &#x27;wfpt.0&#x27;, &#x27;wfpt.0&#x27;, ..., &#x27;wfpt.4&#x27;, &#x27;wfpt.4&#x27;,\n",
       "         &#x27;wfpt.4&#x27;],\n",
       "        [&#x27;wfpt.0&#x27;, &#x27;wfpt.0&#x27;, &#x27;wfpt.0&#x27;, ..., &#x27;wfpt.4&#x27;, &#x27;wfpt.4&#x27;,\n",
       "         &#x27;wfpt.4&#x27;],\n",
       "        [&#x27;wfpt.0&#x27;, &#x27;wfpt.0&#x27;, &#x27;wfpt.0&#x27;, ..., &#x27;wfpt.4&#x27;, &#x27;wfpt.4&#x27;,\n",
       "         &#x27;wfpt.4&#x27;]],\n",
       "\n",
       "       [[&#x27;wfpt.0&#x27;, &#x27;wfpt.0&#x27;, &#x27;wfpt.0&#x27;, ..., &#x27;wfpt.4&#x27;, &#x27;wfpt.4&#x27;,\n",
       "         &#x27;wfpt.4&#x27;],\n",
       "        [&#x27;wfpt.0&#x27;, &#x27;wfpt.0&#x27;, &#x27;wfpt.0&#x27;, ..., &#x27;wfpt.4&#x27;, &#x27;wfpt.4&#x27;,\n",
       "         &#x27;wfpt.4&#x27;],\n",
       "        [&#x27;wfpt.0&#x27;, &#x27;wfpt.0&#x27;, &#x27;wfpt.0&#x27;, ..., &#x27;wfpt.4&#x27;, &#x27;wfpt.4&#x27;,\n",
       "         &#x27;wfpt.4&#x27;],\n",
       "        ...,\n",
       "        [&#x27;wfpt.0&#x27;, &#x27;wfpt.0&#x27;, &#x27;wfpt.0&#x27;, ..., &#x27;wfpt.4&#x27;, &#x27;wfpt.4&#x27;,\n",
       "         &#x27;wfpt.4&#x27;],\n",
       "        [&#x27;wfpt.0&#x27;, &#x27;wfpt.0&#x27;, &#x27;wfpt.0&#x27;, ..., &#x27;wfpt.4&#x27;, &#x27;wfpt.4&#x27;,\n",
       "         &#x27;wfpt.4&#x27;],\n",
       "        [&#x27;wfpt.0&#x27;, &#x27;wfpt.0&#x27;, &#x27;wfpt.0&#x27;, ..., &#x27;wfpt.4&#x27;, &#x27;wfpt.4&#x27;,\n",
       "         &#x27;wfpt.4&#x27;]]], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>trial</span></div><div class='xr-var-dims'>(chain, draw, obs_id)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 ... 278 279 280 281 282</div><input id='attrs-24a757f2-0adb-4185-b102-603bbaaf1bd3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-24a757f2-0adb-4185-b102-603bbaaf1bd3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8d0d782b-e4b5-400b-9d7e-17d2a0527908' class='xr-var-data-in' type='checkbox'><label for='data-8d0d782b-e4b5-400b-9d7e-17d2a0527908' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[  0,   1,   2, ..., 280, 281, 282],\n",
       "        [  0,   1,   2, ..., 280, 281, 282],\n",
       "        [  0,   1,   2, ..., 280, 281, 282],\n",
       "        ...,\n",
       "        [  0,   1,   2, ..., 280, 281, 282],\n",
       "        [  0,   1,   2, ..., 280, 281, 282],\n",
       "        [  0,   1,   2, ..., 280, 281, 282]],\n",
       "\n",
       "       [[  0,   1,   2, ..., 280, 281, 282],\n",
       "        [  0,   1,   2, ..., 280, 281, 282],\n",
       "        [  0,   1,   2, ..., 280, 281, 282],\n",
       "        ...,\n",
       "        [  0,   1,   2, ..., 280, 281, 282],\n",
       "        [  0,   1,   2, ..., 280, 281, 282],\n",
       "        [  0,   1,   2, ..., 280, 281, 282]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>subj_idx</span></div><div class='xr-var-dims'>(chain, draw, obs_id)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 0 0 0 0 0 0 0 ... 4 4 4 4 4 4 4 4</div><input id='attrs-45b6ee19-0bda-4b94-819b-50d3a38a85f2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-45b6ee19-0bda-4b94-819b-50d3a38a85f2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cfafbbd3-b623-488e-a44d-dc559bf9bcd7' class='xr-var-data-in' type='checkbox'><label for='data-cfafbbd3-b623-488e-a44d-dc559bf9bcd7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[0, 0, 0, ..., 4, 4, 4],\n",
       "        [0, 0, 0, ..., 4, 4, 4],\n",
       "        [0, 0, 0, ..., 4, 4, 4],\n",
       "        ...,\n",
       "        [0, 0, 0, ..., 4, 4, 4],\n",
       "        [0, 0, 0, ..., 4, 4, 4],\n",
       "        [0, 0, 0, ..., 4, 4, 4]],\n",
       "\n",
       "       [[0, 0, 0, ..., 4, 4, 4],\n",
       "        [0, 0, 0, ..., 4, 4, 4],\n",
       "        [0, 0, 0, ..., 4, 4, 4],\n",
       "        ...,\n",
       "        [0, 0, 0, ..., 4, 4, 4],\n",
       "        [0, 0, 0, ..., 4, 4, 4],\n",
       "        [0, 0, 0, ..., 4, 4, 4]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b2e1bb85-a4a0-4127-abd8-9992725bb83e' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b2e1bb85-a4a0-4127-abd8-9992725bb83e' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>log_lik</span></div><div class='xr-var-dims'>(chain, draw, obs_id)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-2.201 -2.201 ... -1.588 0.1551</div><input id='attrs-0bf86925-5427-46bb-b731-a54feecee9bc' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0bf86925-5427-46bb-b731-a54feecee9bc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-148dd340-8707-4f47-83fe-8a581189ba65' class='xr-var-data-in' type='checkbox'><label for='data-148dd340-8707-4f47-83fe-8a581189ba65' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[-2.20088344, -2.20088344, -2.20088344, ..., -0.83076393,\n",
       "         -1.36950336,  0.33478681],\n",
       "        [-1.44642346,  0.18652682, -1.44642346, ..., -0.09213616,\n",
       "         -0.74928151,  0.2546124 ],\n",
       "        [-1.59188484, -0.36950132, -1.59188484, ..., -0.1011244 ,\n",
       "         -1.10391258,  0.31895191],\n",
       "        ...,\n",
       "        [-1.29330057, -1.25027909, -1.25093801, ..., -0.14058409,\n",
       "         -1.5419434 ,  0.2047937 ],\n",
       "        [-1.25693101, -1.29518715, -1.09177846, ..., -0.14156643,\n",
       "         -1.56867762,  0.1229746 ],\n",
       "        [-1.14560015, -1.11216448, -1.02308009, ..., -0.13717209,\n",
       "         -1.51295492,  0.24838332]],\n",
       "\n",
       "       [[-1.31221315, -1.14739767, -1.42775979, ..., -0.52205664,\n",
       "         -2.76521623, -0.5965514 ],\n",
       "        [-2.41981532, -1.55847163, -2.25014338, ..., -0.19188472,\n",
       "         -2.93789354, -0.88085776],\n",
       "        [-2.09418345, -1.18288506, -2.06135245, ..., -0.0203034 ,\n",
       "         -3.54773354, -0.33296619],\n",
       "        ...,\n",
       "        [-1.48751078, -1.24163371, -1.37931296, ..., -0.12659362,\n",
       "         -1.47400481,  0.17049931],\n",
       "        [-1.46497777, -1.21527985, -1.38295397, ..., -0.13198009,\n",
       "         -1.5617323 ,  0.21657718],\n",
       "        [-1.40974472, -1.2248325 , -1.29658159, ..., -0.04649019,\n",
       "         -1.58774367,  0.15510209]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a51be4ba-6bfd-408b-8e93-50b6192d3f41' class='xr-section-summary-in' type='checkbox'  ><label for='section-a51be4ba-6bfd-408b-8e93-50b6192d3f41' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>chain</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-b11bd7a1-ad62-451e-bb0a-c26179d42e1c' class='xr-index-data-in' type='checkbox'/><label for='index-b11bd7a1-ad62-451e-bb0a-c26179d42e1c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0, 1], dtype=&#x27;int64&#x27;, name=&#x27;chain&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>draw</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-f3fda599-9d62-4159-bb72-8e67400b4eb0' class='xr-index-data-in' type='checkbox'/><label for='index-f3fda599-9d62-4159-bb72-8e67400b4eb0' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  0,   1,   2,   3,   4,   5,   6,   7,   8,   9,\n",
       "       ...\n",
       "       490, 491, 492, 493, 494, 495, 496, 497, 498, 499],\n",
       "      dtype=&#x27;int64&#x27;, name=&#x27;draw&#x27;, length=500))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>obs_id</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-333b31d5-adc3-47d6-9dac-822465a355ec' class='xr-index-data-in' type='checkbox'/><label for='index-333b31d5-adc3-47d6-9dac-822465a355ec' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([   0,    1,    2,    3,    4,    5,    6,    7,    8,    9,\n",
       "       ...\n",
       "       1417, 1418, 1419, 1420, 1421, 1422, 1423, 1424, 1425, 1426],\n",
       "      dtype=&#x27;int64&#x27;, name=&#x27;obs_id&#x27;, length=1427))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b2c563f2-8bf3-497f-a14c-3db3f8e22564' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b2c563f2-8bf3-497f-a14c-3db3f8e22564' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div><br></div>\n",
       "                      </ul>\n",
       "                  </div>\n",
       "            </li>\n",
       "            \n",
       "            <li class = \"xr-section-item\">\n",
       "                  <input id=\"idata_observed_data0867b6b6-6f42-48f4-afa4-232ec40813cc\" class=\"xr-section-summary-in\" type=\"checkbox\">\n",
       "                  <label for=\"idata_observed_data0867b6b6-6f42-48f4-afa4-232ec40813cc\" class = \"xr-section-summary\">observed_data</label>\n",
       "                  <div class=\"xr-section-inline-details\"></div>\n",
       "                  <div class=\"xr-section-details\">\n",
       "                      <ul id=\"xr-dataset-coord-list\" class=\"xr-var-list\">\n",
       "                          <div style=\"padding-left:2rem;\"><div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
       "<defs>\n",
       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
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       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
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       "\n",
       ":root {\n",
       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body[data-theme=dark],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:   (obs_id: 1427)\n",
       "Coordinates:\n",
       "  * obs_id    (obs_id) int64 0 1 2 3 4 5 6 ... 1421 1422 1423 1424 1425 1426\n",
       "    subj_idx  (obs_id) int64 0 0 0 0 0 0 0 0 0 0 0 0 ... 4 4 4 4 4 4 4 4 4 4 4 4\n",
       "    trial     (obs_id) int64 0 1 2 3 4 5 6 7 ... 275 276 277 278 279 280 281 282\n",
       "Data variables:\n",
       "    index     (obs_id) int64 0 1 2 3 4 5 6 ... 1421 1422 1423 1424 1425 1426\n",
       "    stim      (obs_id) object &#x27;LL&#x27; &#x27;WL&#x27; &#x27;WW&#x27; &#x27;WL&#x27; &#x27;WW&#x27; ... &#x27;WW&#x27; &#x27;WL&#x27; &#x27;WL&#x27; &#x27;LL&#x27;\n",
       "    rt        (obs_id) float32 1.21 1.63 1.03 2.77 ... 0.43 0.803 -0.606 0.499\n",
       "    response  (obs_id) int64 1 1 1 1 0 1 1 0 1 0 1 0 ... 1 1 0 0 1 1 0 1 1 1 0 1\n",
       "    theta     (obs_id) object 0.656275122261 ... -0.264081867924\n",
       "    dbs       (obs_id) object 1 1 1 1 1 1 1 1 1 1 1 1 ... 0 0 0 0 0 0 0 0 0 0 0\n",
       "    conf      (obs_id) object &#x27;HC&#x27; &#x27;LC&#x27; &#x27;HC&#x27; &#x27;LC&#x27; &#x27;HC&#x27; ... &#x27;HC&#x27; &#x27;LC&#x27; &#x27;LC&#x27; &#x27;HC&#x27;</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-30a740a1-39f0-47ea-a122-565ac7b11b43' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-30a740a1-39f0-47ea-a122-565ac7b11b43' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>obs_id</span>: 1427</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-6240f122-e5b2-44fc-be77-28222635b7c9' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6240f122-e5b2-44fc-be77-28222635b7c9' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>obs_id</span></div><div class='xr-var-dims'>(obs_id)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 ... 1423 1424 1425 1426</div><input id='attrs-9144d91a-8935-480f-871b-b857f0752f5a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9144d91a-8935-480f-871b-b857f0752f5a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-349dd99c-515d-41c5-82fe-7c4fe140555b' class='xr-var-data-in' type='checkbox'><label for='data-349dd99c-515d-41c5-82fe-7c4fe140555b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([   0,    1,    2, ..., 1424, 1425, 1426])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>subj_idx</span></div><div class='xr-var-dims'>(obs_id)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 0 0 0 0 0 0 0 ... 4 4 4 4 4 4 4 4</div><input id='attrs-1744c6b0-95c2-4842-8155-c92cfa00cf91' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1744c6b0-95c2-4842-8155-c92cfa00cf91' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-545abaf3-b656-4732-ad20-85aca5945b92' class='xr-var-data-in' type='checkbox'><label for='data-545abaf3-b656-4732-ad20-85aca5945b92' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 0, 0, ..., 4, 4, 4])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>trial</span></div><div class='xr-var-dims'>(obs_id)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 ... 278 279 280 281 282</div><input id='attrs-66c59b73-56b0-4246-a244-a2db5e214655' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-66c59b73-56b0-4246-a244-a2db5e214655' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9f5a2f49-31aa-49a2-98bd-5d009e89e259' class='xr-var-data-in' type='checkbox'><label for='data-9f5a2f49-31aa-49a2-98bd-5d009e89e259' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([  0,   1,   2, ..., 280, 281, 282])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e619eba3-4efd-4025-9f4e-c6fdc82f5586' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e619eba3-4efd-4025-9f4e-c6fdc82f5586' class='xr-section-summary' >Data variables: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>index</span></div><div class='xr-var-dims'>(obs_id)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 ... 1423 1424 1425 1426</div><input id='attrs-c1661c75-c522-49ed-be01-fb3a77c01b3c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c1661c75-c522-49ed-be01-fb3a77c01b3c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b6068185-74f1-4ba0-b935-a7f17278704c' class='xr-var-data-in' type='checkbox'><label for='data-b6068185-74f1-4ba0-b935-a7f17278704c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([   0,    1,    2, ..., 1424, 1425, 1426])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>stim</span></div><div class='xr-var-dims'>(obs_id)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;LL&#x27; &#x27;WL&#x27; &#x27;WW&#x27; ... &#x27;WL&#x27; &#x27;WL&#x27; &#x27;LL&#x27;</div><input id='attrs-0368b17d-6cde-4ed3-9783-f7f0d88c6b35' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0368b17d-6cde-4ed3-9783-f7f0d88c6b35' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ccdc9347-ea4d-4800-9ad3-2efc3c091b0b' class='xr-var-data-in' type='checkbox'><label for='data-ccdc9347-ea4d-4800-9ad3-2efc3c091b0b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;LL&#x27;, &#x27;WL&#x27;, &#x27;WW&#x27;, ..., &#x27;WL&#x27;, &#x27;WL&#x27;, &#x27;LL&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rt</span></div><div class='xr-var-dims'>(obs_id)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1.21 1.63 1.03 ... -0.606 0.499</div><input id='attrs-35b0b658-e732-4d85-a90b-c04a61626d2a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-35b0b658-e732-4d85-a90b-c04a61626d2a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-197859a6-ea2a-496c-a75e-1dc68b7fcee5' class='xr-var-data-in' type='checkbox'><label for='data-197859a6-ea2a-496c-a75e-1dc68b7fcee5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 1.21 ,  1.63 ,  1.03 , ...,  0.803, -0.606,  0.499], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>response</span></div><div class='xr-var-dims'>(obs_id)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 1 1 1 0 1 1 0 ... 1 1 0 1 1 1 0 1</div><input id='attrs-567b2925-bacd-420d-8a2e-9714e1fbda10' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-567b2925-bacd-420d-8a2e-9714e1fbda10' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-262539f9-918b-4e4a-9f05-12c5184f9245' class='xr-var-data-in' type='checkbox'><label for='data-262539f9-918b-4e4a-9f05-12c5184f9245' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([1, 1, 1, ..., 1, 0, 1])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>theta</span></div><div class='xr-var-dims'>(obs_id)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>0.656275122261 ... -0.264081867924</div><input id='attrs-48f03109-0b8f-4875-a83b-eceef32dfba5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-48f03109-0b8f-4875-a83b-eceef32dfba5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1dd726cc-5626-46ff-9d43-058768c726b2' class='xr-var-data-in' type='checkbox'><label for='data-1dd726cc-5626-46ff-9d43-058768c726b2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.656275122261, -0.3278886716619999, -0.480284512399, ...,\n",
       "       1.2524802215, -0.6359418409079999, -0.264081867924], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dbs</span></div><div class='xr-var-dims'>(obs_id)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>1 1 1 1 1 1 1 1 ... 0 0 0 0 0 0 0 0</div><input id='attrs-3277ca07-c077-4bde-a05e-2697423ff185' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3277ca07-c077-4bde-a05e-2697423ff185' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fdd73f92-32ae-4a63-b684-131d357b163a' class='xr-var-data-in' type='checkbox'><label for='data-fdd73f92-32ae-4a63-b684-131d357b163a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([1, 1, 1, ..., 0, 0, 0], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>conf</span></div><div class='xr-var-dims'>(obs_id)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;HC&#x27; &#x27;LC&#x27; &#x27;HC&#x27; ... &#x27;LC&#x27; &#x27;LC&#x27; &#x27;HC&#x27;</div><input id='attrs-a904fe01-1bd4-476c-9788-acdf66a7814e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a904fe01-1bd4-476c-9788-acdf66a7814e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-65bf4648-fc9c-4698-9129-6d2b13277a9d' class='xr-var-data-in' type='checkbox'><label for='data-65bf4648-fc9c-4698-9129-6d2b13277a9d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;HC&#x27;, &#x27;LC&#x27;, &#x27;HC&#x27;, ..., &#x27;LC&#x27;, &#x27;LC&#x27;, &#x27;HC&#x27;], dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-56306181-7d74-4b2a-b5dd-58868661a70a' class='xr-section-summary-in' type='checkbox'  ><label for='section-56306181-7d74-4b2a-b5dd-58868661a70a' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>obs_id</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-3d7b356b-e8cf-4f3d-8f4e-7835b724498b' class='xr-index-data-in' type='checkbox'/><label for='index-3d7b356b-e8cf-4f3d-8f4e-7835b724498b' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(RangeIndex(start=0, stop=1427, step=1, name=&#x27;obs_id&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a4733541-32f6-48db-b3a0-fd6b28209925' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a4733541-32f6-48db-b3a0-fd6b28209925' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div><br></div>\n",
       "                      </ul>\n",
       "                  </div>\n",
       "            </li>\n",
       "            \n",
       "              </ul>\n",
       "            </div>\n",
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       ".xr-wrap{width:700px!important;} </style>"
      ],
      "text/plain": [
       "Inference data with groups:\n",
       "\t> posterior\n",
       "\t> posterior_predictive\n",
       "\t> log_likelihood\n",
       "\t> observed_data"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model_reg_infdata"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can see the InfData consist of four parts, including the posterior, posterior_predictive, log_likelhood, and observed_data."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "When you set the 'save_name' argument to a `str` of the desired file path, hddm will save the model to two files in that location: the model itself (e.g. `hddmregressor_example.hddm`) and the trace of the model (`hddmregressor_example.db`). \n",
    "\n",
    "Additionally, if you use the argument `return_infdata = True`, it convert the hddm model to ArViz InferenceData, the InferenceData will also be saved to the same path (`hddmregressor_example.nc`).\n",
    "\n",
    "As a result, we can easily load the model and InferenceData using the following code:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 808 ms, sys: 154 ms, total: 962 ms\n",
      "Wall time: 3.79 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "save_name = \"model_fitted/hddmregressor_example\"\n",
    "# loading the inference data is faster than loading the origin hddm class\n",
    "# model_reg = hddm.load(save_name + \".hddm\")\n",
    "model_reg_infdata = az.from_netcdf(save_name + \".nc\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Then we can use the InferenceData to calculate WAIC and LOOIC."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 808 ms, sys: 60.5 ms, total: 869 ms\n",
      "Wall time: 1.58 s\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Computed from 1000 posterior samples and 1427 observations log-likelihood matrix.\n",
       "\n",
       "         Estimate       SE\n",
       "elpd_loo -7978.57   628.77\n",
       "p_loo     6171.74        -\n",
       "\n",
       "There has been a warning during the calculation. Please check the results.\n",
       "------\n",
       "\n",
       "Pareto k diagnostic values:\n",
       "                         Count   Pct.\n",
       "(-Inf, 0.5]   (good)     1072   75.1%\n",
       " (0.5, 0.7]   (ok)        131    9.2%\n",
       "   (0.7, 1]   (bad)        33    2.3%\n",
       "   (1, Inf)   (very bad)  191   13.4%"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%time\n",
    "hddm_reg_LOO = az.loo(model_reg_infdata)\n",
    "hddm_reg_LOO"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### model comparison with LOO"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Relative to the model_reg, which hypothesizes that task conditions (i.e., variable conf) affect the drift rate, our second model, model_reg2, assumes that task conditions affect the boundary.\n",
    "\n",
    "To compare the two models and hypotheses, we built the second model, model_reg2, with the linear formula 'a~C(conf)'.\n",
    "\n",
    "We can then use the `az.compare` function to compare the two models."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No model attribute --> setting up standard HDDM\n",
      "Set model to ddm\n",
      "hddm sampling elpased time:  28.335 s\n",
      "Start to calculate pointwise log likelihood...\n",
      "[                  0%                  ] 3 of 500 complete in 0.6 sec\n",
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      "[-----------------55%-                 ] 277 of 500 complete in 12.5 sec\n",
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      "[-----------------98%----------------- ] 493 of 500 complete in 22.4 sec\n",
      "[-----------------100%-----------------] 500 of 500 complete in 22.8 sec\n",
      "hddm sampling elpased time:  22.823 s\n",
      "[                  0%                  ] 2 of 500 complete in 0.6 sec\n",
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      "[                  2%                  ] 10 of 500 complete in 1.7 sec\n",
      "[-                 3%                  ] 17 of 500 complete in 2.3 sec\n",
      "[--                5%                  ] 27 of 500 complete in 2.8 sec\n",
      "[--                7%                  ] 39 of 500 complete in 3.4 sec\n",
      "[---              10%                  ] 50 of 500 complete in 3.9 sec\n",
      "[----             12%                  ] 60 of 500 complete in 4.4 sec\n",
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      "[-----------------55%                  ] 275 of 500 complete in 13.9 sec\n",
      "[-----------------57%-                 ] 285 of 500 complete in 14.4 sec\n",
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      "[-----------------75%--------          ] 377 of 500 complete in 18.6 sec\n",
      "[-----------------77%---------         ] 389 of 500 complete in 19.2 sec\n",
      "[-----------------79%----------        ] 399 of 500 complete in 19.7 sec\n",
      "[-----------------82%-----------       ] 411 of 500 complete in 20.2 sec\n",
      "[-----------------84%------------      ] 423 of 500 complete in 20.7 sec\n",
      "[-----------------86%------------      ] 434 of 500 complete in 21.3 sec\n",
      "[-----------------89%-------------     ] 447 of 500 complete in 21.8 sec\n",
      "[-----------------91%--------------    ] 458 of 500 complete in 22.3 sec\n",
      "[-----------------93%---------------   ] 468 of 500 complete in 22.9 sec\n",
      "[-----------------96%----------------  ] 481 of 500 complete in 23.4 sec\n",
      "[-----------------98%----------------- ] 494 of 500 complete in 23.9 sec\n",
      "[-----------------100%-----------------] 500 of 500 complete in 24.3 sec\n",
      "hddm sampling elpased time:  24.376 s\n",
      "The time of calculation of loglikelihood:  35.496 s\n",
      "Start generating posterior prediction...\n",
      "The time of generation of ppc:  14.439 s\n",
      "Start converting to InferenceData...\n",
      "CPU times: user 4 s, sys: 295 ms, total: 4.29 s\n",
      "Wall time: 1min 18s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "model_reg2 = hddm.HDDMRegressor(data, 'a~C(conf, Treatment(\"LC\"))',include = ['v', 'a', 't', 'z'])\n",
    "model_reg2_infdata = model_reg2.sample(500, chains = 2, return_infdata = True, loglike = True, ppc = True)\n",
    "\n",
    "# another way is to use to_infdata methods with loglike=True\n",
    "# model_reg2_infdata = model_reg2.to_infdata(loglike=True)\n",
    "# but ensure that the 'tmp_*.db' file for each chain is in the current directory \n",
    "# because we don't save this model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "DIC\n",
      "H: v ~ conf:  3729.753617460317\n",
      "H: a ~ conf:  3665.4602023209004\n"
     ]
    }
   ],
   "source": [
    "print(\"DIC\")\n",
    "print(\"H: v ~ conf: \", model_reg.dic)\n",
    "print(\"H: a ~ conf: \", model_reg2.dic)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 2.09 s, sys: 47.5 ms, total: 2.14 s\n",
      "Wall time: 2.14 s\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>rank</th>\n",
       "      <th>elpd_loo</th>\n",
       "      <th>p_loo</th>\n",
       "      <th>elpd_diff</th>\n",
       "      <th>weight</th>\n",
       "      <th>se</th>\n",
       "      <th>dse</th>\n",
       "      <th>warning</th>\n",
       "      <th>scale</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>H: v ~ conf</th>\n",
       "      <td>0</td>\n",
       "      <td>-7978.568459</td>\n",
       "      <td>6171.739094</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.797707</td>\n",
       "      <td>628.772909</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>True</td>\n",
       "      <td>log</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>H: a ~ conf</th>\n",
       "      <td>1</td>\n",
       "      <td>-16968.402154</td>\n",
       "      <td>15130.767385</td>\n",
       "      <td>8989.833695</td>\n",
       "      <td>0.202293</td>\n",
       "      <td>904.999802</td>\n",
       "      <td>780.89145</td>\n",
       "      <td>True</td>\n",
       "      <td>log</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             rank      elpd_loo         p_loo    elpd_diff    weight   \n",
       "H: v ~ conf     0  -7978.568459   6171.739094     0.000000  0.797707  \\\n",
       "H: a ~ conf     1 -16968.402154  15130.767385  8989.833695  0.202293   \n",
       "\n",
       "                     se        dse  warning scale  \n",
       "H: v ~ conf  628.772909    0.00000     True   log  \n",
       "H: a ~ conf  904.999802  780.89145     True   log  "
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%time\n",
    "compare_dict = {\"H: v ~ conf\": model_reg_infdata, \"H: a ~ conf\": model_reg2_infdata}\n",
    "az.compare(compare_dict)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can see that the model with varing of decision boundary is better than the model with varing of drift rate. \n",
    "\n",
    "Futhermore, we can plot the posterior predictive checks to check the best model.\n",
    "\n",
    "The below code show how to plot the ppc for each subject like the hddm's `plot_posterior_predictive` (e.g. `model_reg.plot_posterior_predictive(figsize=(14, 10))`)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([<AxesSubplot: xlabel='rt / rt\\n0'>,\n",
       "       <AxesSubplot: xlabel='rt / rt\\n1'>,\n",
       "       <AxesSubplot: xlabel='rt / rt\\n2'>,\n",
       "       <AxesSubplot: xlabel='rt / rt\\n3'>], dtype=object)"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2944x552 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "model_reg2_infdata = model_reg2_infdata.assign_coords(\n",
    "  obs_id=model_reg2_infdata.observed_data.coords['subj_idx'].values, \n",
    "  groups=\"observed_vars\")\n",
    "\n",
    "az.plot_ppc(model_reg2_infdata, var_names= 'rt', coords={'obs_id': [0, 1, 2, 3]}, flatten=[])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## statistical inference"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Finally, statistical inferences are made from the parameter posterior distributions of the optimal model, i.e., the effect of conf on parameter `a`.\n",
    "\n",
    "Using `az.plot_posterior()`, we can plot the parameter posterior distributions as well as display statistics related to the posterior distributions.\n",
    "\n",
    "Note that by setting the RPOE (region of practical equivalence) we assume that the difference in `a` between the two conditions (LC vs. HC) ranges from -0.2 to 0.2. If the 95% HDI of the posterior distribution of the regression coefficients (LC - HC) exceeds this range, we make a plausible inference of difference.\n",
    "\n",
    "In this example, the 95% HDI of the posterior distribution of the regression coefficients for the regression of `a` does not exceed the Rope, and the range includes 0. Therefore, we make the inference that there is insufficient evidence of an effect of the condition conf on `a`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(-0.5, 0.5)"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 400x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = az.plot_posterior(\n",
    "    model_reg2_infdata, var_names = 'a_C(conf, Treatment(\"LC\"))[T.HC]', \n",
    "    hdi_prob=0.95, rope = [-0.2,0.2], rope_color=\"r\",\n",
    "    figsize = (4,4)\n",
    ")\n",
    "ax.set_xlim(-0.5,0.5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In conclusion, our contribution has three key benefits:\n",
    "1. You now have the freedom to save the model to any desired path, even if it is not available in the original hddm.\n",
    "2. Rather than generating separate db files for each chain (which could not be moved to other paths in the previous version), we now save all chains' db files in a single location of your choosing.\n",
    "3. We provide a simple way to convert the hddm model to ArViz InferenceData, which allows you to calculate pointwise loglikelihood for model comparison (e.g. WAIC and LOOIC), and generate predictions for model checking (e.g. posterior predictive checks).\"\n",
    "\n",
    "Lastly, I hope you enjoy using this version as it will be beneficial to your modeling work.\n",
    "\n",
    "If you have any questions, please contact me at [panwanke@163.com](panwanke@163.com) or commit an issue at [epool/kabuki](https://gitee.com/epool/kabuki/issues) ↗"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.18"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
